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bertscore-57459190.err
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==> WARNING: A newer version of conda exists. <==
current version: 23.5.2
latest version: 23.11.0
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=23.11.0
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-hlet_51r/peft_571ebb729c5e438dadb86fb1a69c322c
Running command git clone --filter=blob:none --quiet https://github.com/huggingface/accelerate.git /tmp/pip-install-hlet_51r/accelerate_29f957de159b46578f0a86a7d513bf63
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: 23.11.0
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=23.11.0
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.
Traceback (most recent call last):
File "/sfs/weka/scratch/brc4cb/llama2-70b/bertscore.py", line 121, in <module>
scores = score(llema_good, llema_good, 'question', 'question', same_df = True, limit = 100)
File "/sfs/weka/scratch/brc4cb/llama2-70b/bertscore.py", line 47, in score
pred = df2.iloc[j][df2var]
File "/home/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages/pandas/core/indexing.py", line 1103, in __getitem__
return self._getitem_axis(maybe_callable, axis=axis)
File "/home/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages/pandas/core/indexing.py", line 1656, in _getitem_axis
self._validate_integer(key, axis)
File "/home/brc4cb/.conda/envs/falcon_40B/lib/python3.9/site-packages/pandas/core/indexing.py", line 1589, in _validate_integer
raise IndexError("single positional indexer is out-of-bounds")
IndexError: single positional indexer is out-of-bounds