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12/21/2022 10:10:48 - INFO - __main__ - running evaluation script with following parameters: Namespace(batch_size=16, config='be_by', dataset='google/fleurs', device=0, language='be', max_eval_samples=None, model_id='ales/whisper-small-belarusian', push_to_hub=True, save_predictions=True, split='test', streaming=True, text_column='raw_transcription') |
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12/21/2022 10:10:48 - INFO - __main__ - using following text normalizer: <belarusian_text_normalizer.BelarusianTextNormalizer object at 0x7fe1116a06a0> |
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12/21/2022 10:10:54 - INFO - __main__ - loading dataset |
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12/21/2022 10:10:56 - INFO - __main__ - running inference |
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12/21/2022 10:52:01 - INFO - __main__ - computing metrics |
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12/21/2022 10:52:01 - INFO - __main__ - metrics computed |
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12/21/2022 10:52:01 - INFO - __main__ - WER: 45.89674723962996 |
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12/21/2022 10:52:01 - INFO - __main__ - saving predictions to: "preds_google_fleurs_be_by_test_20221221-101048.tsv" |
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12/21/2022 10:52:01 - INFO - __main__ - updating model card and pushing to HuggingFace Hub |
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/home/ubuntu/python_venvs/hf_env/lib/python3.8/site-packages/transformers/generation/utils.py:1134: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https: |
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warnings.warn( |
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Traceback (most recent call last): |
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File "src/run_eval_whisper_streaming.py", line 219, in <module> |
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main(args) |
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File "src/run_eval_whisper_streaming.py", line 123, in main |
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evaluate.push_to_hub( |
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File "/home/ubuntu/python_venvs/hf_env/lib/python3.8/site-packages/evaluate/hub.py", line 119, in push_to_hub |
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return metadata_update(repo_id=model_id, metadata=metadata, overwrite=overwrite) |
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File "/home/ubuntu/python_venvs/hf_env/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 124, in _inner_fn |
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return fn(*args, **kwargs) |
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File "/home/ubuntu/python_venvs/hf_env/lib/python3.8/site-packages/huggingface_hub/repocard.py", line 802, in metadata_update |
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raise ValueError( |
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ValueError: You passed a new value for the existing metric 'name: WER, type: wer'. Set `overwrite=True` to overwrite existing metrics. |
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