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bertscore-58526554.err
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==> WARNING: A newer version of conda exists. <==
current version: 23.5.2
latest version: 24.1.2
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.1.2
WARNING: Ignoring invalid distribution -riton-nightly (/sfs/qumulo/qhome/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages)
Running command git clone --filter=blob:none --quiet https://github.com/huggingface/peft.git /tmp/pip-install-xtn9h3ez/peft_2a0a806296a44e5ea3d981ab6abbb4a0
Running command git clone --filter=blob:none --quiet https://github.com/huggingface/accelerate.git /tmp/pip-install-xtn9h3ez/accelerate_c7df11e4b30a417bb0852fa3ab6f8ccd
ERROR: Cannot install -r requirements.txt (line 2), -r requirements.txt (line 3), -r requirements.txt (line 6) and huggingface_hub==0.16.4 because these package versions have conflicting dependencies.
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
WARNING: Ignoring invalid distribution -riton-nightly (/sfs/qumulo/qhome/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages)
WARNING: Ignoring invalid distribution -riton-nightly (/sfs/qumulo/qhome/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages)
WARNING: Ignoring invalid distribution -riton-nightly (/sfs/qumulo/qhome/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages)
WARNING: Ignoring invalid distribution -riton-nightly (/sfs/qumulo/qhome/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages)
==> WARNING: A newer version of conda exists. <==
current version: 23.5.2
latest version: 24.1.2
Please update conda by running
$ conda update -n base -c defaults conda
Or to minimize the number of packages updated during conda update use
conda install conda=24.1.2
Downloading tokenizer_config.json: 0%| | 0.00/25.0 [00:00<?, ?B/s]Downloading tokenizer_config.json: 100%|██████████| 25.0/25.0 [00:00<00:00, 7.88kB/s]
Some weights of RobertaModel were not initialized from the model checkpoint at roberta-large and are newly initialized: ['roberta.pooler.dense.weight', 'roberta.pooler.dense.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.