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deeppavlov/configs/classifiers/sentiment_twitter_bert_emb.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,149 @@ | ||
| { | ||
| "dataset_reader": { | ||
| "class_name": "basic_classification_reader", | ||
| "x": "Twit", | ||
| "y": "Class", | ||
| "data_path": "{DOWNLOADS_PATH}/sentiment_twitter_data" | ||
| }, | ||
| "dataset_iterator": { | ||
| "class_name": "basic_classification_iterator", | ||
| "seed": 42 | ||
| }, | ||
| "chainer": { | ||
| "in": [ | ||
| "x" | ||
| ], | ||
| "in_y": [ | ||
| "y" | ||
| ], | ||
| "pipe": [ | ||
| { | ||
| "id": "classes_vocab", | ||
| "class_name": "simple_vocab", | ||
| "fit_on": [ | ||
| "y" | ||
| ], | ||
| "save_path": "{MODEL_PATH}/classes.dict", | ||
| "load_path": "{MODEL_PATH}/classes.dict", | ||
| "in": "y", | ||
| "out": "y_ids" | ||
| }, | ||
| { | ||
| "class_name": "transformers_bert_preprocessor", | ||
| "vocab_file": "{BERT_PATH}/vocab.txt", | ||
| "do_lower_case": false, | ||
| "max_seq_length": 512, | ||
| "in": ["x"], | ||
| "out": ["tokens", "subword_tokens", "subword_tok_ids", "startofword_markers", "attention_mask"] | ||
| }, | ||
| { | ||
| "class_name": "transformers_bert_embedder", | ||
| "id": "my_embedder", | ||
| "bert_config_path": "{BERT_PATH}/bert_config.json", | ||
| "truncate": false, | ||
| "load_path": "{BERT_PATH}", | ||
| "in": ["subword_tok_ids", "startofword_markers", "attention_mask"], | ||
| "out": ["word_emb", "subword_emb", "max_emb", "mean_emb", "pooler_output"] | ||
| }, | ||
| { | ||
| "in": "y_ids", | ||
| "out": "y_onehot", | ||
| "class_name": "one_hotter", | ||
| "depth": "#classes_vocab.len", | ||
| "single_vector": true | ||
| }, | ||
| { | ||
| "in": [ | ||
| "word_emb" | ||
| ], | ||
| "in_y": [ | ||
| "y_onehot" | ||
| ], | ||
| "out": [ | ||
| "y_pred_probas" | ||
| ], | ||
| "main": true, | ||
| "class_name": "keras_classification_model", | ||
| "save_path": "{MODEL_PATH}/model", | ||
| "load_path": "{MODEL_PATH}/model", | ||
| "embedding_size": "#my_embedder.dim", | ||
| "n_classes": "#classes_vocab.len", | ||
| "kernel_sizes_cnn": [ | ||
| 3, | ||
| 5, | ||
| 7 | ||
| ], | ||
| "filters_cnn": 256, | ||
| "optimizer": "Adam", | ||
| "learning_rate": 0.01, | ||
| "learning_rate_decay": 0.1, | ||
| "loss": "binary_crossentropy", | ||
| "last_layer_activation": "softmax", | ||
| "coef_reg_cnn": 1e-3, | ||
| "coef_reg_den": 1e-2, | ||
| "dropout_rate": 0.5, | ||
| "dense_size": 100, | ||
| "model_name": "cnn_model" | ||
| }, | ||
| { | ||
| "in": "y_pred_probas", | ||
| "out": "y_pred_ids", | ||
| "class_name": "proba2labels", | ||
| "max_proba": true | ||
| }, | ||
| { | ||
| "in": "y_pred_ids", | ||
| "out": "y_pred_labels", | ||
| "ref": "classes_vocab" | ||
| } | ||
| ], | ||
| "out": [ | ||
| "y_pred_labels" | ||
| ] | ||
| }, | ||
| "train": { | ||
| "epochs": 100, | ||
| "batch_size": 64, | ||
| "metrics": [ | ||
| "accuracy", | ||
| "f1_macro", | ||
| { | ||
| "name": "roc_auc", | ||
| "inputs": ["y_onehot", "y_pred_probas"] | ||
| } | ||
| ], | ||
| "validation_patience": 5, | ||
| "val_every_n_epochs": 1, | ||
| "log_every_n_epochs": 1, | ||
| "show_examples": false, | ||
| "evaluation_targets": [ | ||
| "valid", | ||
| "test" | ||
| ], | ||
| "class_name": "nn_trainer" | ||
| }, | ||
| "metadata": { | ||
| "variables": { | ||
| "ROOT_PATH": "~/.deeppavlov", | ||
| "DOWNLOADS_PATH": "{ROOT_PATH}/downloads", | ||
| "MODELS_PATH": "{ROOT_PATH}/models", | ||
| "MODEL_PATH": "{MODELS_PATH}/classifiers/sentiment_twitter_bert_emb", | ||
| "BERT_PATH": "{DOWNLOADS_PATH}/bert_models/rubert_cased_L-12_H-768_A-12_pt" | ||
| }, | ||
| "requirements": [ | ||
| "{DEEPPAVLOV_PATH}/requirements/tf.txt", | ||
| "{DEEPPAVLOV_PATH}/requirements/transformers.txt", | ||
| "{DEEPPAVLOV_PATH}/requirements/pytorch.txt" | ||
| ], | ||
| "download": [ | ||
| { | ||
| "url": "http://files.deeppavlov.ai/datasets/sentiment_twitter_data.tar.gz", | ||
| "subdir": "{DOWNLOADS_PATH}" | ||
| }, | ||
| { | ||
| "url": "http://files.deeppavlov.ai/deeppavlov_data/bert/rubert_cased_L-12_H-768_A-12_pt.tar.gz", | ||
| "subdir": "{DOWNLOADS_PATH}/bert_models" | ||
| } | ||
| ] | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "chainer": { | ||
| "in": ["texts"], | ||
| "pipe": [ | ||
| { | ||
| "class_name": "transformers_bert_preprocessor", | ||
| "vocab_file": "{BERT_PATH}/vocab.txt", | ||
| "do_lower_case": false, | ||
| "max_seq_length": 512, | ||
| "in": ["texts"], | ||
| "out": ["tokens", "subword_tokens", "subword_tok_ids", "startofword_markers", "attention_mask"] | ||
| }, | ||
| { | ||
| "class_name": "transformers_bert_embedder", | ||
| "bert_config_path": "{BERT_PATH}/bert_config.json", | ||
| "load_path": "{BERT_PATH}", | ||
| "truncate": true, | ||
| "in": ["subword_tok_ids", "startofword_markers", "attention_mask"], | ||
| "out": ["word_emb", "subword_emb", "max_emb", "mean_emb", "pooler_output"] | ||
| } | ||
| ], | ||
| "out": ["tokens", "word_emb", "subword_tokens", "subword_emb", "max_emb", "mean_emb", "pooler_output"] | ||
| }, | ||
| "train": {}, | ||
| "metadata": { | ||
| "variables": { | ||
| "ROOT_PATH": "~/.deeppavlov", | ||
| "DOWNLOADS_PATH": "{ROOT_PATH}/downloads", | ||
| "BERT_PATH": "{DOWNLOADS_PATH}/bert_models/multi_cased_L-12_H-768_A-12_pt" | ||
| }, | ||
| "requirements": [ | ||
| "{DEEPPAVLOV_PATH}/requirements/transformers.txt", | ||
| "{DEEPPAVLOV_PATH}/requirements/pytorch.txt" | ||
| ], | ||
| "labels": {}, | ||
| "download": [ | ||
| { | ||
| "url": "http://files.deeppavlov.ai/deeppavlov_data/bert/multi_cased_L-12_H-768_A-12_pt.tar.gz", | ||
| "subdir": "{DOWNLOADS_PATH}/bert_models" | ||
| } | ||
| ] | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,43 @@ | ||
| { | ||
| "chainer": { | ||
| "in": ["texts"], | ||
| "pipe": [ | ||
| { | ||
| "class_name": "transformers_bert_preprocessor", | ||
| "vocab_file": "{BERT_PATH}/vocab.txt", | ||
| "do_lower_case": false, | ||
| "max_seq_length": 512, | ||
| "in": ["texts"], | ||
| "out": ["tokens", "subword_tokens", "subword_tok_ids", "startofword_markers", "attention_mask"] | ||
| }, | ||
| { | ||
| "class_name": "transformers_bert_embedder", | ||
| "bert_config_path": "{BERT_PATH}/bert_config.json", | ||
| "load_path": "{BERT_PATH}", | ||
| "truncate": false, | ||
| "in": ["subword_tok_ids", "startofword_markers", "attention_mask"], | ||
| "out": ["word_emb", "subword_emb", "max_emb", "mean_emb", "pooler_output"] | ||
| } | ||
| ], | ||
| "out": ["max_emb", "mean_emb", "pooler_output"] | ||
| }, | ||
| "train": {}, | ||
| "metadata": { | ||
| "variables": { | ||
| "ROOT_PATH": "~/.deeppavlov", | ||
| "DOWNLOADS_PATH": "{ROOT_PATH}/downloads", | ||
| "BERT_PATH": "{DOWNLOADS_PATH}/bert_models/sentence_multi_cased_L-12_H-768_A-12_pt" | ||
| }, | ||
| "requirements": [ | ||
| "{DEEPPAVLOV_PATH}/requirements/transformers.txt", | ||
| "{DEEPPAVLOV_PATH}/requirements/pytorch.txt" | ||
| ], | ||
| "labels": {}, | ||
| "download": [ | ||
| { | ||
| "url": "http://files.deeppavlov.ai/deeppavlov_data/bert/sentence_multi_cased_L-12_H-768_A-12_pt.tar.gz", | ||
| "subdir": "{DOWNLOADS_PATH}/bert_models" | ||
| } | ||
| ] | ||
| } | ||
| } |
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