NLP_244_Quest4_Part4_5.ipynb

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            "\u001b[?25hCollecting multiprocess\n",
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          ]
        }
      ],
      "source": [
        "!pip install datasets\n",
        "!pip install transformers\n",
        "!pip install sentencepiece\n",
        "!pip install evaluate"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "from transformers import T5Tokenizer, T5ForConditionalGeneration\n",
        "import torch\n",
        "import numpy as np"
      ],
      "metadata": {
        "id": "px7_jIPjlv2A"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "PART 4"
      ],
      "metadata": {
        "id": "x24okKlPmCo3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoTokenizer, AutoModel, DataCollatorWithPadding, AutoModelForSequenceClassification\n",
        "from transformers import TrainingArguments\n",
        "from transformers import Trainer\n",
        "import evaluate"
      ],
      "metadata": {
        "id": "pYVzI0fxmOgA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "french_dataset = load_dataset(\"pranjali97/french_translated_snli\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297,
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        },
        "id": "nPPTV4YDmQ_a",
        "outputId": "9083bd86-899c-4484-fc80-9508ad9cf84c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading readme:   0%|          | 0.00/779 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3a72e5e9c52a40eba9c7576c0b304c15"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading and preparing dataset None/None to /root/.cache/huggingface/datasets/pranjali97___parquet/pranjali97--french_translated_snli-e3cf0920dd590347/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
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            "application/vnd.jupyter.widget-view+json": {
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        {
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            ],
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            ],
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        {
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            ],
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          "text": [
            "Dataset parquet downloaded and prepared to /root/.cache/huggingface/datasets/pranjali97___parquet/pranjali97--french_translated_snli-e3cf0920dd590347/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
          ]
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    {
      "cell_type": "code",
      "source": [
        "french_dataset"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r2hoOtjNmUOS",
        "outputId": "be5d2c89-3935-4309-d639-a225ed05b609"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatasetDict({\n",
              "    validation: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis'],\n",
              "        num_rows: 10000\n",
              "    })\n",
              "    train: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis'],\n",
              "        num_rows: 550152\n",
              "    })\n",
              "    test: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis'],\n",
              "        num_rows: 10000\n",
              "    })\n",
              "})"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Removing class label -1"
      ],
      "metadata": {
        "id": "4d9O2tsgmnqt"
      }
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    {
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      "source": [
        "french_dataset = french_dataset.filter(lambda example: example['label'] in [0,1,2])"
      ],
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          "base_uri": "https://localhost:8080/",
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        "outputId": "569ef59d-9a26-4010-9ebe-c9ed41a1a8fa"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Filter:   0%|          | 0/10000 [00:00<?, ? examples/s]"
            ],
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        {
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        {
          "output_type": "display_data",
          "data": {
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    {
      "cell_type": "code",
      "source": [
        "def merge_hypo_premise(example):\n",
        "  example['text'] = example['translated_premise'] + example['translated_hypothesis']\n",
        "  return example"
      ],
      "metadata": {
        "id": "ifWLymf-mmdj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "french_dataset = french_dataset.map(merge_hypo_premise)"
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              "Map:   0%|          | 0/9842 [00:00<?, ? examples/s]"
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    {
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        "french_dataset"
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zsiBb3Q-o_BR",
        "outputId": "4bfff46f-e195-4f14-b4a9-135b87fe4bf0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatasetDict({\n",
              "    validation: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis', 'text'],\n",
              "        num_rows: 9842\n",
              "    })\n",
              "    train: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis', 'text'],\n",
              "        num_rows: 549367\n",
              "    })\n",
              "    test: Dataset({\n",
              "        features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis', 'text'],\n",
              "        num_rows: 9824\n",
              "    })\n",
              "})"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_data = french_dataset['train']\n",
        "validation_data = french_dataset['validation']\n",
        "test_data = french_dataset['test']"
      ],
      "metadata": {
        "id": "LtEvp-ONpti0"
      },
      "execution_count": null,
      "outputs": []
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    {
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        "tokenizer = AutoTokenizer.from_pretrained(\"cmarkea/distilcamembert-base\")"
      ],
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          "height": 113,
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        {
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          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/236 [00:00<?, ?B/s]"
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          "data": {
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              "Downloading (…)lve/main/config.json:   0%|          | 0.00/732 [00:00<?, ?B/s]"
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          "data": {
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        "tokenized_train = train_data.map(lambda example: tokenizer(example['text'], truncation=True), batched=True, batch_size=256)\n",
        "tokenized_eval = validation_data.map(lambda example: tokenizer(example['text'], truncation=True), batched=True, batch_size=256)\n",
        "tokenized_test = test_data.map(lambda example: tokenizer(example['text'], truncation=True), batched=True, batch_size=256)"
      ],
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        "colab": {
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              "Map:   0%|          | 0/549367 [00:00<?, ? examples/s]"
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/9842 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7cb57cf955f34dbabdc4302949f5e528"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Map:   0%|          | 0/9824 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3cbb8f54a8824b618fa4d9ea4c033662"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tokenized_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T_dGcNO9tCQ8",
        "outputId": "581c1273-3f8e-4bef-e0f1-197bb6f15ffe"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Dataset({\n",
              "    features: ['premise', 'hypothesis', 'label', 'translated_premise', 'translated_hypothesis', 'text', 'input_ids', 'attention_mask'],\n",
              "    num_rows: 549367\n",
              "})"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tokenized_train.set_format(type=\"pt\", columns=['input_ids', 'attention_mask', 'label'])\n"
      ],
      "metadata": {
        "id": "iAF6yvzMs0lE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = AutoModelForSequenceClassification.from_pretrained(\"cmarkea/distilcamembert-base\", num_labels = 3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158,
          "referenced_widgets": [
            "7d441ec8375b485a80f7b369fd966aaa",
            "db0cf5e4309447ad8519d390983ca2d5",
            "d4fa9929c1bc4fbb8a00425a00405b4b",
            "891852d6f37145419c1b611d962b4dc7",
            "fed3fa977a274e21a831455f98d6e0e9",
            "9d6e54126d9b480ba572315ff13e7b2d",
            "ca2c776527d8476d967aae4631344fb2",
            "0d390440599c407c95859f6d616745b0",
            "803bae4270864953b58f335050554d2a",
            "712552d1799548b0829ed4ca9d6fe2aa",
            "a81741ba660945e89af5b83aabf7e3f0"
          ]
        },
        "id": "523lLwK6tHaW",
        "outputId": "545cbd63-9035-4631-a659-f329bd71d656"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)\"pytorch_model.bin\";:   0%|          | 0.00/273M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7d441ec8375b485a80f7b369fd966aaa"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the model checkpoint at cmarkea/distilcamembert-base were not used when initializing CamembertForSequenceClassification: ['lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.decoder.bias', 'lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.dense.weight']\n",
            "- This IS expected if you are initializing CamembertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing CamembertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Some weights of CamembertForSequenceClassification were not initialized from the model checkpoint at cmarkea/distilcamembert-base and are newly initialized: ['classifier.out_proj.bias', 'classifier.out_proj.weight', 'classifier.dense.weight', 'classifier.dense.bias']\n",
            "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "model = model.to(device)"
      ],
      "metadata": {
        "id": "4kbPjX5rtMXg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "training_args: TrainingArguments = TrainingArguments(\n",
        "        output_dir=\"part4_training\",\n",
        "        do_train=True,\n",
        "        do_eval=True,\n",
        "        do_predict=True,\n",
        "        evaluation_strategy=\"steps\",\n",
        "        eval_steps=128,\n",
        "        per_device_train_batch_size=128,\n",
        "        per_device_eval_batch_size=128,\n",
        "        save_steps=128,\n",
        "        save_strategy=\"steps\",\n",
        "        save_total_limit=5,\n",
        "        num_train_epochs=5,\n",
        "        metric_for_best_model=\"accuracy\",\n",
        "        load_best_model_at_end=True,\n",
        "        dataloader_num_workers=0,  # set to 0 when debugging and >1 when running!\n",
        "    )"
      ],
      "metadata": {
        "id": "W8Brh9mPtPWL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_collator = DataCollatorWithPadding(tokenizer=tokenizer)"
      ],
      "metadata": {
        "id": "IhZou-bOty3x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "f1_metric = evaluate.load('f1')\n",
        "acc_metric = evaluate.load('accuracy')\n",
        "\n",
        "def my_compute_metrics(eval_pred):\n",
        "  logits, labels = eval_pred.predictions, eval_pred.label_ids\n",
        "  predictions = np.argmax(logits, axis=1)\n",
        "  result = {}\n",
        "  result.update(acc_metric.compute(predictions=predictions, references=labels))\n",
        "  result.update(f1_metric.compute(predictions=predictions, references=labels, average = \"macro\"))\n",
        "  return result\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81,
          "referenced_widgets": [
            "cc53d2fd6ac74eeda0498b55ecb60fef",
            "1235f17978804c1fa382d083d9ed1cf6",
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            "ad924fbe8732426ca68d8b0b32ea069a",
            "ccee6a03e2a94abc9cde265347df0a35",
            "98b0758dab1647ff9c4cb4956e799259",
            "bc7dc5c135c943b78a072ae14974e7f0",
            "9fed343bfcf84eae8302a019fe4bbba2",
            "09c3c0d62d36474980403e522d8825b7",
            "67ccd4d2fab44d6d8e74f3b48ac227b0",
            "c8b2dc5345fa4b25ba74fd790e03c66c",
            "71a7b5c1f45d473a988c5787138b002a",
            "ec9f0401e55c4808b83d47208087d9a7",
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            "efb56144f8b547af8e9212a394f16cd3",
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        },
        "id": "ptLUoO3Oya20",
        "outputId": "e68b3cfb-ba45-42ae-f103-f2b81654d0c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading builder script:   0%|          | 0.00/6.77k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "cc53d2fd6ac74eeda0498b55ecb60fef"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading builder script:   0%|          | 0.00/4.20k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "71a7b5c1f45d473a988c5787138b002a"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "trainer = Trainer(\n",
        "    model,\n",
        "    training_args,\n",
        "    train_dataset=tokenized_train,\n",
        "    eval_dataset=tokenized_eval,\n",
        "    tokenizer=tokenizer,\n",
        "    compute_metrics=my_compute_metrics,\n",
        ")"
      ],
      "metadata": {
        "id": "lupw2dO6t54V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "trainer.train()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cjm-5DZYt8Yp",
        "outputId": "e6d22517-893b-487a-94c7-df009ed712b1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The following columns in the training set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "/usr/local/lib/python3.8/dist-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
            "  warnings.warn(\n",
            "***** Running training *****\n",
            "  Num examples = 549367\n",
            "  Num Epochs = 5\n",
            "  Instantaneous batch size per device = 128\n",
            "  Total train batch size (w. parallel, distributed & accumulation) = 128\n",
            "  Gradient Accumulation steps = 1\n",
            "  Total optimization steps = 21460\n",
            "  Number of trainable parameters = 68097027\n",
            "You're using a CamembertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='21460' max='21460' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [21460/21460 2:40:45, Epoch 5/5]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "      <th>Validation Loss</th>\n",
              "      <th>Accuracy</th>\n",
              "      <th>F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>128</td>\n",
              "      <td>No log</td>\n",
              "      <td>0.792199</td>\n",
              "      <td>0.651900</td>\n",
              "      <td>0.648187</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>256</td>\n",
              "      <td>No log</td>\n",
              "      <td>0.725543</td>\n",
              "      <td>0.689596</td>\n",
              "      <td>0.688883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>384</td>\n",
              "      <td>No log</td>\n",
              "      <td>0.689994</td>\n",
              "      <td>0.705344</td>\n",
              "      <td>0.704418</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>512</td>\n",
              "      <td>0.804400</td>\n",
              "      <td>0.691610</td>\n",
              "      <td>0.708596</td>\n",
              "      <td>0.706526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>640</td>\n",
              "      <td>0.804400</td>\n",
              "      <td>0.657536</td>\n",
              "      <td>0.721805</td>\n",
              "      <td>0.722498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>768</td>\n",
              "      <td>0.804400</td>\n",
              "      <td>0.655850</td>\n",
              "      <td>0.727698</td>\n",
              "      <td>0.726279</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>896</td>\n",
              "      <td>0.804400</td>\n",
              "      <td>0.648682</td>\n",
              "      <td>0.732981</td>\n",
              "      <td>0.732264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1024</td>\n",
              "      <td>0.697600</td>\n",
              "      <td>0.642432</td>\n",
              "      <td>0.734302</td>\n",
              "      <td>0.733651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1152</td>\n",
              "      <td>0.697600</td>\n",
              "      <td>0.621793</td>\n",
              "      <td>0.742634</td>\n",
              "      <td>0.741945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1280</td>\n",
              "      <td>0.697600</td>\n",
              "      <td>0.618390</td>\n",
              "      <td>0.744463</td>\n",
              "      <td>0.742440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1408</td>\n",
              "      <td>0.697600</td>\n",
              "      <td>0.620801</td>\n",
              "      <td>0.741821</td>\n",
              "      <td>0.742174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1536</td>\n",
              "      <td>0.663000</td>\n",
              "      <td>0.619231</td>\n",
              "      <td>0.745479</td>\n",
              "      <td>0.745253</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1664</td>\n",
              "      <td>0.663000</td>\n",
              "      <td>0.612641</td>\n",
              "      <td>0.747815</td>\n",
              "      <td>0.747572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1792</td>\n",
              "      <td>0.663000</td>\n",
              "      <td>0.599825</td>\n",
              "      <td>0.748933</td>\n",
              "      <td>0.749313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1920</td>\n",
              "      <td>0.663000</td>\n",
              "      <td>0.593624</td>\n",
              "      <td>0.754725</td>\n",
              "      <td>0.754860</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2048</td>\n",
              "      <td>0.646100</td>\n",
              "      <td>0.598893</td>\n",
              "      <td>0.753607</td>\n",
              "      <td>0.753159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2176</td>\n",
              "      <td>0.646100</td>\n",
              "      <td>0.587595</td>\n",
              "      <td>0.756858</td>\n",
              "      <td>0.756612</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2304</td>\n",
              "      <td>0.646100</td>\n",
              "      <td>0.584529</td>\n",
              "      <td>0.757468</td>\n",
              "      <td>0.756832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2432</td>\n",
              "      <td>0.646100</td>\n",
              "      <td>0.578622</td>\n",
              "      <td>0.760618</td>\n",
              "      <td>0.760646</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2560</td>\n",
              "      <td>0.634800</td>\n",
              "      <td>0.583111</td>\n",
              "      <td>0.761837</td>\n",
              "      <td>0.762349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2688</td>\n",
              "      <td>0.634800</td>\n",
              "      <td>0.570241</td>\n",
              "      <td>0.764174</td>\n",
              "      <td>0.763391</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2816</td>\n",
              "      <td>0.634800</td>\n",
              "      <td>0.571476</td>\n",
              "      <td>0.765292</td>\n",
              "      <td>0.764815</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2944</td>\n",
              "      <td>0.634800</td>\n",
              "      <td>0.563086</td>\n",
              "      <td>0.767933</td>\n",
              "      <td>0.767370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3072</td>\n",
              "      <td>0.617200</td>\n",
              "      <td>0.566281</td>\n",
              "      <td>0.766917</td>\n",
              "      <td>0.766468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3200</td>\n",
              "      <td>0.617200</td>\n",
              "      <td>0.563596</td>\n",
              "      <td>0.771490</td>\n",
              "      <td>0.770718</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3328</td>\n",
              "      <td>0.617200</td>\n",
              "      <td>0.568580</td>\n",
              "      <td>0.765698</td>\n",
              "      <td>0.765387</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3456</td>\n",
              "      <td>0.617200</td>\n",
              "      <td>0.567452</td>\n",
              "      <td>0.771185</td>\n",
              "      <td>0.770774</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3584</td>\n",
              "      <td>0.609300</td>\n",
              "      <td>0.555755</td>\n",
              "      <td>0.774131</td>\n",
              "      <td>0.773215</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3712</td>\n",
              "      <td>0.609300</td>\n",
              "      <td>0.562440</td>\n",
              "      <td>0.766816</td>\n",
              "      <td>0.766744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3840</td>\n",
              "      <td>0.609300</td>\n",
              "      <td>0.558376</td>\n",
              "      <td>0.767222</td>\n",
              "      <td>0.766702</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3968</td>\n",
              "      <td>0.609300</td>\n",
              "      <td>0.550980</td>\n",
              "      <td>0.772201</td>\n",
              "      <td>0.771696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4096</td>\n",
              "      <td>0.598600</td>\n",
              "      <td>0.552322</td>\n",
              "      <td>0.769356</td>\n",
              "      <td>0.768142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4224</td>\n",
              "      <td>0.598600</td>\n",
              "      <td>0.551535</td>\n",
              "      <td>0.772506</td>\n",
              "      <td>0.772647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4352</td>\n",
              "      <td>0.598600</td>\n",
              "      <td>0.557782</td>\n",
              "      <td>0.774334</td>\n",
              "      <td>0.773524</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4480</td>\n",
              "      <td>0.598600</td>\n",
              "      <td>0.563451</td>\n",
              "      <td>0.772607</td>\n",
              "      <td>0.772638</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4608</td>\n",
              "      <td>0.580100</td>\n",
              "      <td>0.555344</td>\n",
              "      <td>0.770473</td>\n",
              "      <td>0.770432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4736</td>\n",
              "      <td>0.580100</td>\n",
              "      <td>0.560921</td>\n",
              "      <td>0.771794</td>\n",
              "      <td>0.771845</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4864</td>\n",
              "      <td>0.580100</td>\n",
              "      <td>0.553429</td>\n",
              "      <td>0.777586</td>\n",
              "      <td>0.777263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4992</td>\n",
              "      <td>0.580100</td>\n",
              "      <td>0.554712</td>\n",
              "      <td>0.777281</td>\n",
              "      <td>0.777107</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5120</td>\n",
              "      <td>0.549900</td>\n",
              "      <td>0.559052</td>\n",
              "      <td>0.774233</td>\n",
              "      <td>0.773781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5248</td>\n",
              "      <td>0.549900</td>\n",
              "      <td>0.544149</td>\n",
              "      <td>0.780634</td>\n",
              "      <td>0.780518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5376</td>\n",
              "      <td>0.549900</td>\n",
              "      <td>0.544418</td>\n",
              "      <td>0.778094</td>\n",
              "      <td>0.778275</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5504</td>\n",
              "      <td>0.546800</td>\n",
              "      <td>0.544365</td>\n",
              "      <td>0.779008</td>\n",
              "      <td>0.778141</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5632</td>\n",
              "      <td>0.546800</td>\n",
              "      <td>0.546327</td>\n",
              "      <td>0.777891</td>\n",
              "      <td>0.777637</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5760</td>\n",
              "      <td>0.546800</td>\n",
              "      <td>0.539236</td>\n",
              "      <td>0.781853</td>\n",
              "      <td>0.781532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5888</td>\n",
              "      <td>0.546800</td>\n",
              "      <td>0.541696</td>\n",
              "      <td>0.780024</td>\n",
              "      <td>0.780159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6016</td>\n",
              "      <td>0.549300</td>\n",
              "      <td>0.535727</td>\n",
              "      <td>0.778094</td>\n",
              "      <td>0.777924</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6144</td>\n",
              "      <td>0.549300</td>\n",
              "      <td>0.545049</td>\n",
              "      <td>0.778704</td>\n",
              "      <td>0.777927</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6272</td>\n",
              "      <td>0.549300</td>\n",
              "      <td>0.543059</td>\n",
              "      <td>0.779415</td>\n",
              "      <td>0.778035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6400</td>\n",
              "      <td>0.549300</td>\n",
              "      <td>0.538152</td>\n",
              "      <td>0.778805</td>\n",
              "      <td>0.778433</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6528</td>\n",
              "      <td>0.543200</td>\n",
              "      <td>0.536742</td>\n",
              "      <td>0.781345</td>\n",
              "      <td>0.781276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6656</td>\n",
              "      <td>0.543200</td>\n",
              "      <td>0.543758</td>\n",
              "      <td>0.781040</td>\n",
              "      <td>0.780287</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6784</td>\n",
              "      <td>0.543200</td>\n",
              "      <td>0.531087</td>\n",
              "      <td>0.787442</td>\n",
              "      <td>0.787030</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6912</td>\n",
              "      <td>0.543200</td>\n",
              "      <td>0.543597</td>\n",
              "      <td>0.785105</td>\n",
              "      <td>0.784141</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7040</td>\n",
              "      <td>0.546100</td>\n",
              "      <td>0.544481</td>\n",
              "      <td>0.780126</td>\n",
              "      <td>0.780327</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7168</td>\n",
              "      <td>0.546100</td>\n",
              "      <td>0.543497</td>\n",
              "      <td>0.779516</td>\n",
              "      <td>0.779693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7296</td>\n",
              "      <td>0.546100</td>\n",
              "      <td>0.523108</td>\n",
              "      <td>0.783581</td>\n",
              "      <td>0.783667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7424</td>\n",
              "      <td>0.546100</td>\n",
              "      <td>0.542693</td>\n",
              "      <td>0.783682</td>\n",
              "      <td>0.783785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7552</td>\n",
              "      <td>0.538600</td>\n",
              "      <td>0.532448</td>\n",
              "      <td>0.781955</td>\n",
              "      <td>0.782028</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7680</td>\n",
              "      <td>0.538600</td>\n",
              "      <td>0.540115</td>\n",
              "      <td>0.782666</td>\n",
              "      <td>0.781997</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7808</td>\n",
              "      <td>0.538600</td>\n",
              "      <td>0.538426</td>\n",
              "      <td>0.779821</td>\n",
              "      <td>0.779335</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7936</td>\n",
              "      <td>0.538600</td>\n",
              "      <td>0.532209</td>\n",
              "      <td>0.785308</td>\n",
              "      <td>0.785595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8064</td>\n",
              "      <td>0.538200</td>\n",
              "      <td>0.533024</td>\n",
              "      <td>0.784597</td>\n",
              "      <td>0.784560</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8192</td>\n",
              "      <td>0.538200</td>\n",
              "      <td>0.531247</td>\n",
              "      <td>0.783784</td>\n",
              "      <td>0.782729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8320</td>\n",
              "      <td>0.538200</td>\n",
              "      <td>0.534148</td>\n",
              "      <td>0.782768</td>\n",
              "      <td>0.782400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8448</td>\n",
              "      <td>0.538200</td>\n",
              "      <td>0.519058</td>\n",
              "      <td>0.788051</td>\n",
              "      <td>0.787478</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8576</td>\n",
              "      <td>0.535900</td>\n",
              "      <td>0.529554</td>\n",
              "      <td>0.782565</td>\n",
              "      <td>0.782588</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8704</td>\n",
              "      <td>0.535900</td>\n",
              "      <td>0.559268</td>\n",
              "      <td>0.782361</td>\n",
              "      <td>0.782075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8832</td>\n",
              "      <td>0.535900</td>\n",
              "      <td>0.540323</td>\n",
              "      <td>0.784800</td>\n",
              "      <td>0.784275</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8960</td>\n",
              "      <td>0.535900</td>\n",
              "      <td>0.549535</td>\n",
              "      <td>0.786019</td>\n",
              "      <td>0.785486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9088</td>\n",
              "      <td>0.501400</td>\n",
              "      <td>0.550025</td>\n",
              "      <td>0.783276</td>\n",
              "      <td>0.782972</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9216</td>\n",
              "      <td>0.501400</td>\n",
              "      <td>0.546795</td>\n",
              "      <td>0.784292</td>\n",
              "      <td>0.784327</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9344</td>\n",
              "      <td>0.501400</td>\n",
              "      <td>0.543543</td>\n",
              "      <td>0.785206</td>\n",
              "      <td>0.784851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9472</td>\n",
              "      <td>0.501400</td>\n",
              "      <td>0.551988</td>\n",
              "      <td>0.784495</td>\n",
              "      <td>0.784013</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9600</td>\n",
              "      <td>0.485700</td>\n",
              "      <td>0.550992</td>\n",
              "      <td>0.782666</td>\n",
              "      <td>0.781705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9728</td>\n",
              "      <td>0.485700</td>\n",
              "      <td>0.554571</td>\n",
              "      <td>0.787746</td>\n",
              "      <td>0.787200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9856</td>\n",
              "      <td>0.485700</td>\n",
              "      <td>0.542379</td>\n",
              "      <td>0.780837</td>\n",
              "      <td>0.781137</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9984</td>\n",
              "      <td>0.485700</td>\n",
              "      <td>0.535426</td>\n",
              "      <td>0.787238</td>\n",
              "      <td>0.787068</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10112</td>\n",
              "      <td>0.488500</td>\n",
              "      <td>0.539031</td>\n",
              "      <td>0.788153</td>\n",
              "      <td>0.788076</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10240</td>\n",
              "      <td>0.488500</td>\n",
              "      <td>0.547197</td>\n",
              "      <td>0.783682</td>\n",
              "      <td>0.783594</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10368</td>\n",
              "      <td>0.488500</td>\n",
              "      <td>0.541003</td>\n",
              "      <td>0.784597</td>\n",
              "      <td>0.784469</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10496</td>\n",
              "      <td>0.488500</td>\n",
              "      <td>0.541282</td>\n",
              "      <td>0.785308</td>\n",
              "      <td>0.784674</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10624</td>\n",
              "      <td>0.486300</td>\n",
              "      <td>0.541640</td>\n",
              "      <td>0.785003</td>\n",
              "      <td>0.784565</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10752</td>\n",
              "      <td>0.486300</td>\n",
              "      <td>0.534249</td>\n",
              "      <td>0.788356</td>\n",
              "      <td>0.788177</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10880</td>\n",
              "      <td>0.486300</td>\n",
              "      <td>0.523865</td>\n",
              "      <td>0.789982</td>\n",
              "      <td>0.789695</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11008</td>\n",
              "      <td>0.488600</td>\n",
              "      <td>0.535966</td>\n",
              "      <td>0.788356</td>\n",
              "      <td>0.787697</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11136</td>\n",
              "      <td>0.488600</td>\n",
              "      <td>0.532785</td>\n",
              "      <td>0.788356</td>\n",
              "      <td>0.787726</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11264</td>\n",
              "      <td>0.488600</td>\n",
              "      <td>0.530482</td>\n",
              "      <td>0.787848</td>\n",
              "      <td>0.787817</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11392</td>\n",
              "      <td>0.488600</td>\n",
              "      <td>0.544891</td>\n",
              "      <td>0.786527</td>\n",
              "      <td>0.786983</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11520</td>\n",
              "      <td>0.488000</td>\n",
              "      <td>0.530739</td>\n",
              "      <td>0.784800</td>\n",
              "      <td>0.784285</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11648</td>\n",
              "      <td>0.488000</td>\n",
              "      <td>0.534742</td>\n",
              "      <td>0.787137</td>\n",
              "      <td>0.786363</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11776</td>\n",
              "      <td>0.488000</td>\n",
              "      <td>0.530432</td>\n",
              "      <td>0.788254</td>\n",
              "      <td>0.788251</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11904</td>\n",
              "      <td>0.488000</td>\n",
              "      <td>0.529547</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788645</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12032</td>\n",
              "      <td>0.485900</td>\n",
              "      <td>0.545564</td>\n",
              "      <td>0.788153</td>\n",
              "      <td>0.787526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12160</td>\n",
              "      <td>0.485900</td>\n",
              "      <td>0.527785</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12288</td>\n",
              "      <td>0.485900</td>\n",
              "      <td>0.556004</td>\n",
              "      <td>0.786730</td>\n",
              "      <td>0.785486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12416</td>\n",
              "      <td>0.485900</td>\n",
              "      <td>0.537908</td>\n",
              "      <td>0.790185</td>\n",
              "      <td>0.789556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12544</td>\n",
              "      <td>0.486400</td>\n",
              "      <td>0.529174</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12672</td>\n",
              "      <td>0.486400</td>\n",
              "      <td>0.530961</td>\n",
              "      <td>0.787035</td>\n",
              "      <td>0.786914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12800</td>\n",
              "      <td>0.486400</td>\n",
              "      <td>0.526139</td>\n",
              "      <td>0.788153</td>\n",
              "      <td>0.788261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12928</td>\n",
              "      <td>0.486400</td>\n",
              "      <td>0.543975</td>\n",
              "      <td>0.790998</td>\n",
              "      <td>0.790442</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13056</td>\n",
              "      <td>0.472300</td>\n",
              "      <td>0.560471</td>\n",
              "      <td>0.785613</td>\n",
              "      <td>0.785505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13184</td>\n",
              "      <td>0.472300</td>\n",
              "      <td>0.537626</td>\n",
              "      <td>0.787950</td>\n",
              "      <td>0.787932</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13312</td>\n",
              "      <td>0.472300</td>\n",
              "      <td>0.546289</td>\n",
              "      <td>0.788356</td>\n",
              "      <td>0.787937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13440</td>\n",
              "      <td>0.472300</td>\n",
              "      <td>0.549032</td>\n",
              "      <td>0.788254</td>\n",
              "      <td>0.788018</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13568</td>\n",
              "      <td>0.440800</td>\n",
              "      <td>0.554616</td>\n",
              "      <td>0.787137</td>\n",
              "      <td>0.786724</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13696</td>\n",
              "      <td>0.440800</td>\n",
              "      <td>0.551592</td>\n",
              "      <td>0.787645</td>\n",
              "      <td>0.787274</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13824</td>\n",
              "      <td>0.440800</td>\n",
              "      <td>0.545457</td>\n",
              "      <td>0.788254</td>\n",
              "      <td>0.788364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13952</td>\n",
              "      <td>0.440800</td>\n",
              "      <td>0.547582</td>\n",
              "      <td>0.790185</td>\n",
              "      <td>0.789512</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14080</td>\n",
              "      <td>0.440200</td>\n",
              "      <td>0.539293</td>\n",
              "      <td>0.789474</td>\n",
              "      <td>0.788629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14208</td>\n",
              "      <td>0.440200</td>\n",
              "      <td>0.541369</td>\n",
              "      <td>0.788762</td>\n",
              "      <td>0.788616</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14336</td>\n",
              "      <td>0.440200</td>\n",
              "      <td>0.536463</td>\n",
              "      <td>0.791506</td>\n",
              "      <td>0.791434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14464</td>\n",
              "      <td>0.440200</td>\n",
              "      <td>0.536087</td>\n",
              "      <td>0.790185</td>\n",
              "      <td>0.790019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14592</td>\n",
              "      <td>0.449300</td>\n",
              "      <td>0.554308</td>\n",
              "      <td>0.790388</td>\n",
              "      <td>0.789905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14720</td>\n",
              "      <td>0.449300</td>\n",
              "      <td>0.546971</td>\n",
              "      <td>0.790591</td>\n",
              "      <td>0.790280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14848</td>\n",
              "      <td>0.449300</td>\n",
              "      <td>0.549737</td>\n",
              "      <td>0.789169</td>\n",
              "      <td>0.789381</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14976</td>\n",
              "      <td>0.449300</td>\n",
              "      <td>0.542746</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788927</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15104</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.541518</td>\n",
              "      <td>0.788661</td>\n",
              "      <td>0.788074</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15232</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.546337</td>\n",
              "      <td>0.790795</td>\n",
              "      <td>0.790926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15360</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.547230</td>\n",
              "      <td>0.790896</td>\n",
              "      <td>0.790320</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15488</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.553899</td>\n",
              "      <td>0.787543</td>\n",
              "      <td>0.787159</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15616</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.545222</td>\n",
              "      <td>0.790490</td>\n",
              "      <td>0.790066</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15744</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.543221</td>\n",
              "      <td>0.789779</td>\n",
              "      <td>0.789402</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15872</td>\n",
              "      <td>0.444500</td>\n",
              "      <td>0.545482</td>\n",
              "      <td>0.789982</td>\n",
              "      <td>0.789854</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16000</td>\n",
              "      <td>0.447500</td>\n",
              "      <td>0.541042</td>\n",
              "      <td>0.789677</td>\n",
              "      <td>0.789562</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16128</td>\n",
              "      <td>0.447500</td>\n",
              "      <td>0.546617</td>\n",
              "      <td>0.790083</td>\n",
              "      <td>0.790094</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16256</td>\n",
              "      <td>0.447500</td>\n",
              "      <td>0.546138</td>\n",
              "      <td>0.790896</td>\n",
              "      <td>0.790369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16384</td>\n",
              "      <td>0.447500</td>\n",
              "      <td>0.541122</td>\n",
              "      <td>0.788661</td>\n",
              "      <td>0.788642</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16512</td>\n",
              "      <td>0.444900</td>\n",
              "      <td>0.534901</td>\n",
              "      <td>0.792827</td>\n",
              "      <td>0.792678</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16640</td>\n",
              "      <td>0.444900</td>\n",
              "      <td>0.544311</td>\n",
              "      <td>0.790998</td>\n",
              "      <td>0.790754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16768</td>\n",
              "      <td>0.444900</td>\n",
              "      <td>0.553082</td>\n",
              "      <td>0.791811</td>\n",
              "      <td>0.791596</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16896</td>\n",
              "      <td>0.444900</td>\n",
              "      <td>0.537480</td>\n",
              "      <td>0.793131</td>\n",
              "      <td>0.792964</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17024</td>\n",
              "      <td>0.437800</td>\n",
              "      <td>0.540694</td>\n",
              "      <td>0.792217</td>\n",
              "      <td>0.791710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17152</td>\n",
              "      <td>0.437800</td>\n",
              "      <td>0.539802</td>\n",
              "      <td>0.790693</td>\n",
              "      <td>0.790405</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17280</td>\n",
              "      <td>0.437800</td>\n",
              "      <td>0.561965</td>\n",
              "      <td>0.790998</td>\n",
              "      <td>0.790749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17408</td>\n",
              "      <td>0.437800</td>\n",
              "      <td>0.557157</td>\n",
              "      <td>0.790185</td>\n",
              "      <td>0.790150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17536</td>\n",
              "      <td>0.419200</td>\n",
              "      <td>0.553165</td>\n",
              "      <td>0.791607</td>\n",
              "      <td>0.790895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17664</td>\n",
              "      <td>0.419200</td>\n",
              "      <td>0.564320</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788576</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17792</td>\n",
              "      <td>0.419200</td>\n",
              "      <td>0.563080</td>\n",
              "      <td>0.788661</td>\n",
              "      <td>0.788368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17920</td>\n",
              "      <td>0.419200</td>\n",
              "      <td>0.557652</td>\n",
              "      <td>0.789067</td>\n",
              "      <td>0.788703</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18048</td>\n",
              "      <td>0.415200</td>\n",
              "      <td>0.559544</td>\n",
              "      <td>0.787746</td>\n",
              "      <td>0.787465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18176</td>\n",
              "      <td>0.415200</td>\n",
              "      <td>0.558393</td>\n",
              "      <td>0.790490</td>\n",
              "      <td>0.790280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18304</td>\n",
              "      <td>0.415200</td>\n",
              "      <td>0.556387</td>\n",
              "      <td>0.791303</td>\n",
              "      <td>0.790937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18432</td>\n",
              "      <td>0.415200</td>\n",
              "      <td>0.554975</td>\n",
              "      <td>0.792115</td>\n",
              "      <td>0.791871</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18560</td>\n",
              "      <td>0.414900</td>\n",
              "      <td>0.563372</td>\n",
              "      <td>0.791404</td>\n",
              "      <td>0.791290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18688</td>\n",
              "      <td>0.414900</td>\n",
              "      <td>0.553501</td>\n",
              "      <td>0.791303</td>\n",
              "      <td>0.791095</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18816</td>\n",
              "      <td>0.414900</td>\n",
              "      <td>0.557404</td>\n",
              "      <td>0.790185</td>\n",
              "      <td>0.790168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18944</td>\n",
              "      <td>0.414900</td>\n",
              "      <td>0.561146</td>\n",
              "      <td>0.789880</td>\n",
              "      <td>0.789768</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19072</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.564565</td>\n",
              "      <td>0.790388</td>\n",
              "      <td>0.790032</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19200</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.554470</td>\n",
              "      <td>0.791506</td>\n",
              "      <td>0.791409</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19328</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.567368</td>\n",
              "      <td>0.791303</td>\n",
              "      <td>0.790973</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19456</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.560747</td>\n",
              "      <td>0.790388</td>\n",
              "      <td>0.790317</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19584</td>\n",
              "      <td>0.410100</td>\n",
              "      <td>0.560530</td>\n",
              "      <td>0.791404</td>\n",
              "      <td>0.791232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19712</td>\n",
              "      <td>0.410100</td>\n",
              "      <td>0.562407</td>\n",
              "      <td>0.789880</td>\n",
              "      <td>0.789773</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19840</td>\n",
              "      <td>0.410100</td>\n",
              "      <td>0.563339</td>\n",
              "      <td>0.789779</td>\n",
              "      <td>0.789297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19968</td>\n",
              "      <td>0.410100</td>\n",
              "      <td>0.560317</td>\n",
              "      <td>0.790591</td>\n",
              "      <td>0.790523</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20096</td>\n",
              "      <td>0.409900</td>\n",
              "      <td>0.556423</td>\n",
              "      <td>0.791099</td>\n",
              "      <td>0.790774</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20224</td>\n",
              "      <td>0.409900</td>\n",
              "      <td>0.563686</td>\n",
              "      <td>0.790998</td>\n",
              "      <td>0.790765</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20352</td>\n",
              "      <td>0.409900</td>\n",
              "      <td>0.557402</td>\n",
              "      <td>0.790591</td>\n",
              "      <td>0.790603</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20480</td>\n",
              "      <td>0.409900</td>\n",
              "      <td>0.557226</td>\n",
              "      <td>0.791811</td>\n",
              "      <td>0.791532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20608</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.554138</td>\n",
              "      <td>0.791201</td>\n",
              "      <td>0.791096</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20736</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.558675</td>\n",
              "      <td>0.790998</td>\n",
              "      <td>0.790934</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20864</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.553751</td>\n",
              "      <td>0.790896</td>\n",
              "      <td>0.790695</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20992</td>\n",
              "      <td>0.410800</td>\n",
              "      <td>0.552747</td>\n",
              "      <td>0.792217</td>\n",
              "      <td>0.792086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21120</td>\n",
              "      <td>0.412300</td>\n",
              "      <td>0.553405</td>\n",
              "      <td>0.790490</td>\n",
              "      <td>0.790391</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21248</td>\n",
              "      <td>0.412300</td>\n",
              "      <td>0.554949</td>\n",
              "      <td>0.790591</td>\n",
              "      <td>0.790445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21376</td>\n",
              "      <td>0.412300</td>\n",
              "      <td>0.555327</td>\n",
              "      <td>0.790795</td>\n",
              "      <td>0.790673</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-128\n",
            "Configuration saved in part4_training/checkpoint-128/config.json\n",
            "Model weights saved in part4_training/checkpoint-128/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-128/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-128/special_tokens_map.json\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-256\n",
            "Configuration saved in part4_training/checkpoint-256/config.json\n",
            "Model weights saved in part4_training/checkpoint-256/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-256/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-256/special_tokens_map.json\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-384\n",
            "Configuration saved in part4_training/checkpoint-384/config.json\n",
            "Model weights saved in part4_training/checkpoint-384/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-384/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-384/special_tokens_map.json\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-512\n",
            "Configuration saved in part4_training/checkpoint-512/config.json\n",
            "Model weights saved in part4_training/checkpoint-512/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-512/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-512/special_tokens_map.json\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-640\n",
            "Configuration saved in part4_training/checkpoint-640/config.json\n",
            "Model weights saved in part4_training/checkpoint-640/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-640/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-640/special_tokens_map.json\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-768\n",
            "Configuration saved in part4_training/checkpoint-768/config.json\n",
            "Model weights saved in part4_training/checkpoint-768/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-768/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-768/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-128] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-896\n",
            "Configuration saved in part4_training/checkpoint-896/config.json\n",
            "Model weights saved in part4_training/checkpoint-896/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-896/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-896/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-256] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1024\n",
            "Configuration saved in part4_training/checkpoint-1024/config.json\n",
            "Model weights saved in part4_training/checkpoint-1024/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1024/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1024/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-384] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1152\n",
            "Configuration saved in part4_training/checkpoint-1152/config.json\n",
            "Model weights saved in part4_training/checkpoint-1152/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1152/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1152/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-512] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1280\n",
            "Configuration saved in part4_training/checkpoint-1280/config.json\n",
            "Model weights saved in part4_training/checkpoint-1280/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1280/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1280/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-640] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1408\n",
            "Configuration saved in part4_training/checkpoint-1408/config.json\n",
            "Model weights saved in part4_training/checkpoint-1408/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1408/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1408/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-768] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1536\n",
            "Configuration saved in part4_training/checkpoint-1536/config.json\n",
            "Model weights saved in part4_training/checkpoint-1536/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1536/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1536/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-896] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1664\n",
            "Configuration saved in part4_training/checkpoint-1664/config.json\n",
            "Model weights saved in part4_training/checkpoint-1664/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1664/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1664/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1024] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1792\n",
            "Configuration saved in part4_training/checkpoint-1792/config.json\n",
            "Model weights saved in part4_training/checkpoint-1792/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1792/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1792/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1152] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-1920\n",
            "Configuration saved in part4_training/checkpoint-1920/config.json\n",
            "Model weights saved in part4_training/checkpoint-1920/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-1920/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-1920/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1280] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2048\n",
            "Configuration saved in part4_training/checkpoint-2048/config.json\n",
            "Model weights saved in part4_training/checkpoint-2048/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2048/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2048/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1408] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2176\n",
            "Configuration saved in part4_training/checkpoint-2176/config.json\n",
            "Model weights saved in part4_training/checkpoint-2176/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2176/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2176/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1536] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2304\n",
            "Configuration saved in part4_training/checkpoint-2304/config.json\n",
            "Model weights saved in part4_training/checkpoint-2304/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2304/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2304/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1664] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2432\n",
            "Configuration saved in part4_training/checkpoint-2432/config.json\n",
            "Model weights saved in part4_training/checkpoint-2432/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2432/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2432/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1792] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2560\n",
            "Configuration saved in part4_training/checkpoint-2560/config.json\n",
            "Model weights saved in part4_training/checkpoint-2560/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2560/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2560/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-1920] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2688\n",
            "Configuration saved in part4_training/checkpoint-2688/config.json\n",
            "Model weights saved in part4_training/checkpoint-2688/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2688/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2688/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2048] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2816\n",
            "Configuration saved in part4_training/checkpoint-2816/config.json\n",
            "Model weights saved in part4_training/checkpoint-2816/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2816/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2816/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2176] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-2944\n",
            "Configuration saved in part4_training/checkpoint-2944/config.json\n",
            "Model weights saved in part4_training/checkpoint-2944/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-2944/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-2944/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2304] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3072\n",
            "Configuration saved in part4_training/checkpoint-3072/config.json\n",
            "Model weights saved in part4_training/checkpoint-3072/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3072/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3072/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2432] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3200\n",
            "Configuration saved in part4_training/checkpoint-3200/config.json\n",
            "Model weights saved in part4_training/checkpoint-3200/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3200/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3200/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2560] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3328\n",
            "Configuration saved in part4_training/checkpoint-3328/config.json\n",
            "Model weights saved in part4_training/checkpoint-3328/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3328/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3328/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2688] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3456\n",
            "Configuration saved in part4_training/checkpoint-3456/config.json\n",
            "Model weights saved in part4_training/checkpoint-3456/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3456/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3456/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2816] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3584\n",
            "Configuration saved in part4_training/checkpoint-3584/config.json\n",
            "Model weights saved in part4_training/checkpoint-3584/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3584/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3584/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-2944] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3712\n",
            "Configuration saved in part4_training/checkpoint-3712/config.json\n",
            "Model weights saved in part4_training/checkpoint-3712/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3712/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3712/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3072] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3840\n",
            "Configuration saved in part4_training/checkpoint-3840/config.json\n",
            "Model weights saved in part4_training/checkpoint-3840/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3840/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3840/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3200] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-3968\n",
            "Configuration saved in part4_training/checkpoint-3968/config.json\n",
            "Model weights saved in part4_training/checkpoint-3968/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-3968/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-3968/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3328] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4096\n",
            "Configuration saved in part4_training/checkpoint-4096/config.json\n",
            "Model weights saved in part4_training/checkpoint-4096/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4096/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4096/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3456] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4224\n",
            "Configuration saved in part4_training/checkpoint-4224/config.json\n",
            "Model weights saved in part4_training/checkpoint-4224/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4224/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4224/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3712] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4352\n",
            "Configuration saved in part4_training/checkpoint-4352/config.json\n",
            "Model weights saved in part4_training/checkpoint-4352/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4352/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4352/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3584] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4480\n",
            "Configuration saved in part4_training/checkpoint-4480/config.json\n",
            "Model weights saved in part4_training/checkpoint-4480/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4480/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4480/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3840] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4608\n",
            "Configuration saved in part4_training/checkpoint-4608/config.json\n",
            "Model weights saved in part4_training/checkpoint-4608/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4608/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4608/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-3968] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4736\n",
            "Configuration saved in part4_training/checkpoint-4736/config.json\n",
            "Model weights saved in part4_training/checkpoint-4736/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4736/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4736/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4096] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4864\n",
            "Configuration saved in part4_training/checkpoint-4864/config.json\n",
            "Model weights saved in part4_training/checkpoint-4864/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4864/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4864/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4224] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-4992\n",
            "Configuration saved in part4_training/checkpoint-4992/config.json\n",
            "Model weights saved in part4_training/checkpoint-4992/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-4992/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-4992/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4352] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5120\n",
            "Configuration saved in part4_training/checkpoint-5120/config.json\n",
            "Model weights saved in part4_training/checkpoint-5120/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5120/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5120/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4480] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5248\n",
            "Configuration saved in part4_training/checkpoint-5248/config.json\n",
            "Model weights saved in part4_training/checkpoint-5248/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5248/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5248/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4608] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5376\n",
            "Configuration saved in part4_training/checkpoint-5376/config.json\n",
            "Model weights saved in part4_training/checkpoint-5376/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5376/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5376/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4736] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5504\n",
            "Configuration saved in part4_training/checkpoint-5504/config.json\n",
            "Model weights saved in part4_training/checkpoint-5504/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5504/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5504/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4864] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5632\n",
            "Configuration saved in part4_training/checkpoint-5632/config.json\n",
            "Model weights saved in part4_training/checkpoint-5632/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5632/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5632/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-4992] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5760\n",
            "Configuration saved in part4_training/checkpoint-5760/config.json\n",
            "Model weights saved in part4_training/checkpoint-5760/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5760/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5760/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5120] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-5888\n",
            "Configuration saved in part4_training/checkpoint-5888/config.json\n",
            "Model weights saved in part4_training/checkpoint-5888/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-5888/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-5888/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5248] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6016\n",
            "Configuration saved in part4_training/checkpoint-6016/config.json\n",
            "Model weights saved in part4_training/checkpoint-6016/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6016/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6016/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5376] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6144\n",
            "Configuration saved in part4_training/checkpoint-6144/config.json\n",
            "Model weights saved in part4_training/checkpoint-6144/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6144/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6144/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5504] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6272\n",
            "Configuration saved in part4_training/checkpoint-6272/config.json\n",
            "Model weights saved in part4_training/checkpoint-6272/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6272/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6272/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5632] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6400\n",
            "Configuration saved in part4_training/checkpoint-6400/config.json\n",
            "Model weights saved in part4_training/checkpoint-6400/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6400/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6400/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5888] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6528\n",
            "Configuration saved in part4_training/checkpoint-6528/config.json\n",
            "Model weights saved in part4_training/checkpoint-6528/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6528/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6528/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6016] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6656\n",
            "Configuration saved in part4_training/checkpoint-6656/config.json\n",
            "Model weights saved in part4_training/checkpoint-6656/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6656/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6656/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6144] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6784\n",
            "Configuration saved in part4_training/checkpoint-6784/config.json\n",
            "Model weights saved in part4_training/checkpoint-6784/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6784/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6784/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-5760] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-6912\n",
            "Configuration saved in part4_training/checkpoint-6912/config.json\n",
            "Model weights saved in part4_training/checkpoint-6912/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-6912/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-6912/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6272] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7040\n",
            "Configuration saved in part4_training/checkpoint-7040/config.json\n",
            "Model weights saved in part4_training/checkpoint-7040/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7040/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7040/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6400] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7168\n",
            "Configuration saved in part4_training/checkpoint-7168/config.json\n",
            "Model weights saved in part4_training/checkpoint-7168/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7168/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7168/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6528] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7296\n",
            "Configuration saved in part4_training/checkpoint-7296/config.json\n",
            "Model weights saved in part4_training/checkpoint-7296/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7296/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7296/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6656] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7424\n",
            "Configuration saved in part4_training/checkpoint-7424/config.json\n",
            "Model weights saved in part4_training/checkpoint-7424/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7424/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7424/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6912] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7552\n",
            "Configuration saved in part4_training/checkpoint-7552/config.json\n",
            "Model weights saved in part4_training/checkpoint-7552/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7552/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7552/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7040] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7680\n",
            "Configuration saved in part4_training/checkpoint-7680/config.json\n",
            "Model weights saved in part4_training/checkpoint-7680/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7680/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7680/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7168] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7808\n",
            "Configuration saved in part4_training/checkpoint-7808/config.json\n",
            "Model weights saved in part4_training/checkpoint-7808/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7808/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7808/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7296] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-7936\n",
            "Configuration saved in part4_training/checkpoint-7936/config.json\n",
            "Model weights saved in part4_training/checkpoint-7936/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-7936/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-7936/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7424] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8064\n",
            "Configuration saved in part4_training/checkpoint-8064/config.json\n",
            "Model weights saved in part4_training/checkpoint-8064/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8064/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8064/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7552] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8192\n",
            "Configuration saved in part4_training/checkpoint-8192/config.json\n",
            "Model weights saved in part4_training/checkpoint-8192/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8192/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8192/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7680] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8320\n",
            "Configuration saved in part4_training/checkpoint-8320/config.json\n",
            "Model weights saved in part4_training/checkpoint-8320/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8320/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8320/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7808] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8448\n",
            "Configuration saved in part4_training/checkpoint-8448/config.json\n",
            "Model weights saved in part4_training/checkpoint-8448/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8448/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8448/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-6784] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8576\n",
            "Configuration saved in part4_training/checkpoint-8576/config.json\n",
            "Model weights saved in part4_training/checkpoint-8576/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8576/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8576/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-7936] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8704\n",
            "Configuration saved in part4_training/checkpoint-8704/config.json\n",
            "Model weights saved in part4_training/checkpoint-8704/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8704/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8704/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8064] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8832\n",
            "Configuration saved in part4_training/checkpoint-8832/config.json\n",
            "Model weights saved in part4_training/checkpoint-8832/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8832/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8832/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8192] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-8960\n",
            "Configuration saved in part4_training/checkpoint-8960/config.json\n",
            "Model weights saved in part4_training/checkpoint-8960/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-8960/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-8960/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8320] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9088\n",
            "Configuration saved in part4_training/checkpoint-9088/config.json\n",
            "Model weights saved in part4_training/checkpoint-9088/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9088/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9088/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8576] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9216\n",
            "Configuration saved in part4_training/checkpoint-9216/config.json\n",
            "Model weights saved in part4_training/checkpoint-9216/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9216/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9216/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8704] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9344\n",
            "Configuration saved in part4_training/checkpoint-9344/config.json\n",
            "Model weights saved in part4_training/checkpoint-9344/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9344/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9344/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8832] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9472\n",
            "Configuration saved in part4_training/checkpoint-9472/config.json\n",
            "Model weights saved in part4_training/checkpoint-9472/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9472/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9472/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8960] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9600\n",
            "Configuration saved in part4_training/checkpoint-9600/config.json\n",
            "Model weights saved in part4_training/checkpoint-9600/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9600/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9600/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9088] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9728\n",
            "Configuration saved in part4_training/checkpoint-9728/config.json\n",
            "Model weights saved in part4_training/checkpoint-9728/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9728/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9728/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9216] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9856\n",
            "Configuration saved in part4_training/checkpoint-9856/config.json\n",
            "Model weights saved in part4_training/checkpoint-9856/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9856/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9856/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9344] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-9984\n",
            "Configuration saved in part4_training/checkpoint-9984/config.json\n",
            "Model weights saved in part4_training/checkpoint-9984/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-9984/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-9984/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9472] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10112\n",
            "Configuration saved in part4_training/checkpoint-10112/config.json\n",
            "Model weights saved in part4_training/checkpoint-10112/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10112/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10112/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-8448] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10240\n",
            "Configuration saved in part4_training/checkpoint-10240/config.json\n",
            "Model weights saved in part4_training/checkpoint-10240/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10240/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10240/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9600] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10368\n",
            "Configuration saved in part4_training/checkpoint-10368/config.json\n",
            "Model weights saved in part4_training/checkpoint-10368/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10368/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10368/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9728] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10496\n",
            "Configuration saved in part4_training/checkpoint-10496/config.json\n",
            "Model weights saved in part4_training/checkpoint-10496/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10496/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10496/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9856] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10624\n",
            "Configuration saved in part4_training/checkpoint-10624/config.json\n",
            "Model weights saved in part4_training/checkpoint-10624/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10624/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10624/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-9984] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10752\n",
            "Configuration saved in part4_training/checkpoint-10752/config.json\n",
            "Model weights saved in part4_training/checkpoint-10752/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10752/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10752/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10112] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-10880\n",
            "Configuration saved in part4_training/checkpoint-10880/config.json\n",
            "Model weights saved in part4_training/checkpoint-10880/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-10880/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-10880/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10240] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11008\n",
            "Configuration saved in part4_training/checkpoint-11008/config.json\n",
            "Model weights saved in part4_training/checkpoint-11008/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11008/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11008/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10368] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11136\n",
            "Configuration saved in part4_training/checkpoint-11136/config.json\n",
            "Model weights saved in part4_training/checkpoint-11136/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11136/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11136/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10496] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11264\n",
            "Configuration saved in part4_training/checkpoint-11264/config.json\n",
            "Model weights saved in part4_training/checkpoint-11264/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11264/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11264/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10624] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11392\n",
            "Configuration saved in part4_training/checkpoint-11392/config.json\n",
            "Model weights saved in part4_training/checkpoint-11392/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11392/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11392/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10752] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11520\n",
            "Configuration saved in part4_training/checkpoint-11520/config.json\n",
            "Model weights saved in part4_training/checkpoint-11520/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11520/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11520/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11008] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11648\n",
            "Configuration saved in part4_training/checkpoint-11648/config.json\n",
            "Model weights saved in part4_training/checkpoint-11648/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11648/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11648/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11136] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11776\n",
            "Configuration saved in part4_training/checkpoint-11776/config.json\n",
            "Model weights saved in part4_training/checkpoint-11776/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11776/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11776/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11264] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-11904\n",
            "Configuration saved in part4_training/checkpoint-11904/config.json\n",
            "Model weights saved in part4_training/checkpoint-11904/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-11904/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-11904/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11392] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12032\n",
            "Configuration saved in part4_training/checkpoint-12032/config.json\n",
            "Model weights saved in part4_training/checkpoint-12032/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12032/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12032/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11520] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12160\n",
            "Configuration saved in part4_training/checkpoint-12160/config.json\n",
            "Model weights saved in part4_training/checkpoint-12160/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12160/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12160/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11648] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12288\n",
            "Configuration saved in part4_training/checkpoint-12288/config.json\n",
            "Model weights saved in part4_training/checkpoint-12288/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12288/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12288/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11776] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12416\n",
            "Configuration saved in part4_training/checkpoint-12416/config.json\n",
            "Model weights saved in part4_training/checkpoint-12416/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12416/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12416/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-10880] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12544\n",
            "Configuration saved in part4_training/checkpoint-12544/config.json\n",
            "Model weights saved in part4_training/checkpoint-12544/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12544/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12544/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-11904] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12672\n",
            "Configuration saved in part4_training/checkpoint-12672/config.json\n",
            "Model weights saved in part4_training/checkpoint-12672/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12672/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12672/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12032] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12800\n",
            "Configuration saved in part4_training/checkpoint-12800/config.json\n",
            "Model weights saved in part4_training/checkpoint-12800/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12800/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12800/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12160] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-12928\n",
            "Configuration saved in part4_training/checkpoint-12928/config.json\n",
            "Model weights saved in part4_training/checkpoint-12928/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-12928/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-12928/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12288] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13056\n",
            "Configuration saved in part4_training/checkpoint-13056/config.json\n",
            "Model weights saved in part4_training/checkpoint-13056/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13056/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13056/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12416] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13184\n",
            "Configuration saved in part4_training/checkpoint-13184/config.json\n",
            "Model weights saved in part4_training/checkpoint-13184/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13184/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13184/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12544] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13312\n",
            "Configuration saved in part4_training/checkpoint-13312/config.json\n",
            "Model weights saved in part4_training/checkpoint-13312/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13312/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13312/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12672] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13440\n",
            "Configuration saved in part4_training/checkpoint-13440/config.json\n",
            "Model weights saved in part4_training/checkpoint-13440/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13440/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13440/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12800] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13568\n",
            "Configuration saved in part4_training/checkpoint-13568/config.json\n",
            "Model weights saved in part4_training/checkpoint-13568/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13568/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13568/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13056] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13696\n",
            "Configuration saved in part4_training/checkpoint-13696/config.json\n",
            "Model weights saved in part4_training/checkpoint-13696/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13696/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13696/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13184] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13824\n",
            "Configuration saved in part4_training/checkpoint-13824/config.json\n",
            "Model weights saved in part4_training/checkpoint-13824/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13824/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13824/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13312] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-13952\n",
            "Configuration saved in part4_training/checkpoint-13952/config.json\n",
            "Model weights saved in part4_training/checkpoint-13952/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-13952/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-13952/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13440] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14080\n",
            "Configuration saved in part4_training/checkpoint-14080/config.json\n",
            "Model weights saved in part4_training/checkpoint-14080/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14080/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14080/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13568] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14208\n",
            "Configuration saved in part4_training/checkpoint-14208/config.json\n",
            "Model weights saved in part4_training/checkpoint-14208/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14208/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14208/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13696] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14336\n",
            "Configuration saved in part4_training/checkpoint-14336/config.json\n",
            "Model weights saved in part4_training/checkpoint-14336/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14336/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14336/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-12928] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14464\n",
            "Configuration saved in part4_training/checkpoint-14464/config.json\n",
            "Model weights saved in part4_training/checkpoint-14464/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14464/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14464/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13824] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14592\n",
            "Configuration saved in part4_training/checkpoint-14592/config.json\n",
            "Model weights saved in part4_training/checkpoint-14592/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14592/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14592/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-13952] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14720\n",
            "Configuration saved in part4_training/checkpoint-14720/config.json\n",
            "Model weights saved in part4_training/checkpoint-14720/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14720/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14720/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14080] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14848\n",
            "Configuration saved in part4_training/checkpoint-14848/config.json\n",
            "Model weights saved in part4_training/checkpoint-14848/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14848/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14848/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14208] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-14976\n",
            "Configuration saved in part4_training/checkpoint-14976/config.json\n",
            "Model weights saved in part4_training/checkpoint-14976/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-14976/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-14976/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14464] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15104\n",
            "Configuration saved in part4_training/checkpoint-15104/config.json\n",
            "Model weights saved in part4_training/checkpoint-15104/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15104/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15104/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14592] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15232\n",
            "Configuration saved in part4_training/checkpoint-15232/config.json\n",
            "Model weights saved in part4_training/checkpoint-15232/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15232/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15232/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14720] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15360\n",
            "Configuration saved in part4_training/checkpoint-15360/config.json\n",
            "Model weights saved in part4_training/checkpoint-15360/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15360/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15360/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14848] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15488\n",
            "Configuration saved in part4_training/checkpoint-15488/config.json\n",
            "Model weights saved in part4_training/checkpoint-15488/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15488/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15488/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14976] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15616\n",
            "Configuration saved in part4_training/checkpoint-15616/config.json\n",
            "Model weights saved in part4_training/checkpoint-15616/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15616/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15616/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15104] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15744\n",
            "Configuration saved in part4_training/checkpoint-15744/config.json\n",
            "Model weights saved in part4_training/checkpoint-15744/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15744/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15744/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15232] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-15872\n",
            "Configuration saved in part4_training/checkpoint-15872/config.json\n",
            "Model weights saved in part4_training/checkpoint-15872/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-15872/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-15872/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15360] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16000\n",
            "Configuration saved in part4_training/checkpoint-16000/config.json\n",
            "Model weights saved in part4_training/checkpoint-16000/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16000/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16000/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15488] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16128\n",
            "Configuration saved in part4_training/checkpoint-16128/config.json\n",
            "Model weights saved in part4_training/checkpoint-16128/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16128/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16128/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15616] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16256\n",
            "Configuration saved in part4_training/checkpoint-16256/config.json\n",
            "Model weights saved in part4_training/checkpoint-16256/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16256/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16256/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15744] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16384\n",
            "Configuration saved in part4_training/checkpoint-16384/config.json\n",
            "Model weights saved in part4_training/checkpoint-16384/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16384/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16384/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-15872] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16512\n",
            "Configuration saved in part4_training/checkpoint-16512/config.json\n",
            "Model weights saved in part4_training/checkpoint-16512/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16512/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16512/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-14336] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16640\n",
            "Configuration saved in part4_training/checkpoint-16640/config.json\n",
            "Model weights saved in part4_training/checkpoint-16640/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16640/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16640/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16000] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16768\n",
            "Configuration saved in part4_training/checkpoint-16768/config.json\n",
            "Model weights saved in part4_training/checkpoint-16768/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16768/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16768/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16128] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-16896\n",
            "Configuration saved in part4_training/checkpoint-16896/config.json\n",
            "Model weights saved in part4_training/checkpoint-16896/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-16896/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-16896/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16256] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17024\n",
            "Configuration saved in part4_training/checkpoint-17024/config.json\n",
            "Model weights saved in part4_training/checkpoint-17024/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17024/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17024/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16384] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17152\n",
            "Configuration saved in part4_training/checkpoint-17152/config.json\n",
            "Model weights saved in part4_training/checkpoint-17152/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17152/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17152/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16512] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17280\n",
            "Configuration saved in part4_training/checkpoint-17280/config.json\n",
            "Model weights saved in part4_training/checkpoint-17280/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17280/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17280/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16640] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17408\n",
            "Configuration saved in part4_training/checkpoint-17408/config.json\n",
            "Model weights saved in part4_training/checkpoint-17408/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17408/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17408/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-16768] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17536\n",
            "Configuration saved in part4_training/checkpoint-17536/config.json\n",
            "Model weights saved in part4_training/checkpoint-17536/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17536/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17536/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17024] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17664\n",
            "Configuration saved in part4_training/checkpoint-17664/config.json\n",
            "Model weights saved in part4_training/checkpoint-17664/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17664/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17664/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17152] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17792\n",
            "Configuration saved in part4_training/checkpoint-17792/config.json\n",
            "Model weights saved in part4_training/checkpoint-17792/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17792/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17792/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17280] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-17920\n",
            "Configuration saved in part4_training/checkpoint-17920/config.json\n",
            "Model weights saved in part4_training/checkpoint-17920/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-17920/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-17920/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17408] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18048\n",
            "Configuration saved in part4_training/checkpoint-18048/config.json\n",
            "Model weights saved in part4_training/checkpoint-18048/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18048/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18048/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17536] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18176\n",
            "Configuration saved in part4_training/checkpoint-18176/config.json\n",
            "Model weights saved in part4_training/checkpoint-18176/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18176/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18176/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17664] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18304\n",
            "Configuration saved in part4_training/checkpoint-18304/config.json\n",
            "Model weights saved in part4_training/checkpoint-18304/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18304/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18304/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17792] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18432\n",
            "Configuration saved in part4_training/checkpoint-18432/config.json\n",
            "Model weights saved in part4_training/checkpoint-18432/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18432/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18432/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-17920] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18560\n",
            "Configuration saved in part4_training/checkpoint-18560/config.json\n",
            "Model weights saved in part4_training/checkpoint-18560/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18560/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18560/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18048] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18688\n",
            "Configuration saved in part4_training/checkpoint-18688/config.json\n",
            "Model weights saved in part4_training/checkpoint-18688/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18688/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18688/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18176] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18816\n",
            "Configuration saved in part4_training/checkpoint-18816/config.json\n",
            "Model weights saved in part4_training/checkpoint-18816/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18816/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18816/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18304] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-18944\n",
            "Configuration saved in part4_training/checkpoint-18944/config.json\n",
            "Model weights saved in part4_training/checkpoint-18944/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-18944/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-18944/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18432] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19072\n",
            "Configuration saved in part4_training/checkpoint-19072/config.json\n",
            "Model weights saved in part4_training/checkpoint-19072/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19072/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19072/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18560] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19200\n",
            "Configuration saved in part4_training/checkpoint-19200/config.json\n",
            "Model weights saved in part4_training/checkpoint-19200/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19200/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19200/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18688] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19328\n",
            "Configuration saved in part4_training/checkpoint-19328/config.json\n",
            "Model weights saved in part4_training/checkpoint-19328/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19328/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19328/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18816] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19456\n",
            "Configuration saved in part4_training/checkpoint-19456/config.json\n",
            "Model weights saved in part4_training/checkpoint-19456/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19456/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19456/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-18944] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19584\n",
            "Configuration saved in part4_training/checkpoint-19584/config.json\n",
            "Model weights saved in part4_training/checkpoint-19584/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19584/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19584/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19072] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19712\n",
            "Configuration saved in part4_training/checkpoint-19712/config.json\n",
            "Model weights saved in part4_training/checkpoint-19712/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19712/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19712/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19200] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19840\n",
            "Configuration saved in part4_training/checkpoint-19840/config.json\n",
            "Model weights saved in part4_training/checkpoint-19840/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19840/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19840/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19328] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-19968\n",
            "Configuration saved in part4_training/checkpoint-19968/config.json\n",
            "Model weights saved in part4_training/checkpoint-19968/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-19968/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-19968/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19456] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20096\n",
            "Configuration saved in part4_training/checkpoint-20096/config.json\n",
            "Model weights saved in part4_training/checkpoint-20096/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20096/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20096/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19584] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20224\n",
            "Configuration saved in part4_training/checkpoint-20224/config.json\n",
            "Model weights saved in part4_training/checkpoint-20224/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20224/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20224/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19712] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20352\n",
            "Configuration saved in part4_training/checkpoint-20352/config.json\n",
            "Model weights saved in part4_training/checkpoint-20352/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20352/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20352/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19840] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20480\n",
            "Configuration saved in part4_training/checkpoint-20480/config.json\n",
            "Model weights saved in part4_training/checkpoint-20480/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20480/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20480/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-19968] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20608\n",
            "Configuration saved in part4_training/checkpoint-20608/config.json\n",
            "Model weights saved in part4_training/checkpoint-20608/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20608/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20608/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20096] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20736\n",
            "Configuration saved in part4_training/checkpoint-20736/config.json\n",
            "Model weights saved in part4_training/checkpoint-20736/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20736/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20736/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20224] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20864\n",
            "Configuration saved in part4_training/checkpoint-20864/config.json\n",
            "Model weights saved in part4_training/checkpoint-20864/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20864/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20864/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20352] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-20992\n",
            "Configuration saved in part4_training/checkpoint-20992/config.json\n",
            "Model weights saved in part4_training/checkpoint-20992/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-20992/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-20992/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20480] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-21120\n",
            "Configuration saved in part4_training/checkpoint-21120/config.json\n",
            "Model weights saved in part4_training/checkpoint-21120/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-21120/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-21120/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20608] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-21248\n",
            "Configuration saved in part4_training/checkpoint-21248/config.json\n",
            "Model weights saved in part4_training/checkpoint-21248/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-21248/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-21248/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20736] due to args.save_total_limit\n",
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9842\n",
            "  Batch size = 128\n",
            "Saving model checkpoint to part4_training/checkpoint-21376\n",
            "Configuration saved in part4_training/checkpoint-21376/config.json\n",
            "Model weights saved in part4_training/checkpoint-21376/pytorch_model.bin\n",
            "tokenizer config file saved in part4_training/checkpoint-21376/tokenizer_config.json\n",
            "Special tokens file saved in part4_training/checkpoint-21376/special_tokens_map.json\n",
            "Deleting older checkpoint [part4_training/checkpoint-20864] due to args.save_total_limit\n",
            "\n",
            "\n",
            "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
            "\n",
            "\n",
            "Loading best model from part4_training/checkpoint-16896 (score: 0.7931314773420036).\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TrainOutput(global_step=21460, training_loss=0.5082301058951428, metrics={'train_runtime': 9647.8594, 'train_samples_per_second': 284.709, 'train_steps_per_second': 2.224, 'total_flos': 2.379060091224292e+16, 'train_loss': 0.5082301058951428, 'epoch': 5.0})"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "trainer.evaluate(metric_key_prefix=\"test\", eval_dataset=tokenized_test)"
      ],
      "metadata": {
        "id": "Cr4VjMuut9sq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "outputId": "ca77a9cb-61ad-47fe-cf64-7b4cd1fb264f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "The following columns in the evaluation set don't have a corresponding argument in `CamembertForSequenceClassification.forward` and have been ignored: translated_premise, translated_hypothesis, text, premise, hypothesis. If translated_premise, translated_hypothesis, text, premise, hypothesis are not expected by `CamembertForSequenceClassification.forward`,  you can safely ignore this message.\n",
            "***** Running Evaluation *****\n",
            "  Num examples = 9824\n",
            "  Batch size = 128\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='77' max='77' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [77/77 00:09]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'test_loss': 0.5498430728912354,\n",
              " 'test_accuracy': 0.7898004885993485,\n",
              " 'test_f1': 0.7898816349771822,\n",
              " 'test_runtime': 9.2157,\n",
              " 'test_samples_per_second': 1066.012,\n",
              " 'test_steps_per_second': 8.355,\n",
              " 'epoch': 5.0}"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "NtTDU9Yzw13X"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}