Training in progress, step 300
Browse files
fine-tune-whisper-streaming.ipynb
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" <td>1.207340</td>\n",
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" <td>142.617124</td>\n",
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" </tr>\n",
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" Num examples: Unknown\n",
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" Batch size = 20\n",
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"Reading metadata...: 8693it [00:01, 7553.86it/s]\n",
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"The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.\n"
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" [ 301/3000 1:41:58 < 15:20:31, 0.05 it/s, Epoch 0.10/9223372036854775807]\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <td>1.207340</td>\n",
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" <td>142.617124</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>200</td>\n",
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" <td>0.577200</td>\n",
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" <td>0.612677</td>\n",
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" <td>44.652666</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>300</td>\n",
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" <td>0.182100</td>\n",
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" <td>0.306301</td>\n",
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" <td>14.119548</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table><p>"
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],
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" Num examples: Unknown\n",
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" Batch size = 20\n",
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"Reading metadata...: 8693it [00:01, 7553.86it/s]\n",
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"The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.\n",
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"Saving model checkpoint to ./checkpoint-200\n",
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"Configuration saved in ./checkpoint-200/config.json\n",
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"Model weights saved in ./checkpoint-200/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-200/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-200/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-200/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-200/added_tokens.json\n",
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"Feature extractor saved in ./preprocessor_config.json\n",
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"tokenizer config file saved in ./tokenizer_config.json\n",
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"Special tokens file saved in ./special_tokens_map.json\n",
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"added tokens file saved in ./added_tokens.json\n",
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"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n",
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" warnings.warn('Was asked to gather along dimension 0, but all '\n",
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"***** Running Evaluation *****\n",
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" Num examples: Unknown\n",
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" Batch size = 20\n",
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"Reading metadata...: 8693it [00:01, 7713.62it/s]\n",
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"The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.\n",
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"Saving model checkpoint to ./checkpoint-300\n",
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"Configuration saved in ./checkpoint-300/config.json\n",
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"Model weights saved in ./checkpoint-300/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-300/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-300/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-300/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-300/added_tokens.json\n",
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"Feature extractor saved in ./preprocessor_config.json\n",
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"tokenizer config file saved in ./tokenizer_config.json\n",
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"Special tokens file saved in ./special_tokens_map.json\n",
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"added tokens file saved in ./added_tokens.json\n"
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]
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}
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],
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pytorch_model.bin
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runs/Dec06_07-40-22_04812eda968b/events.out.tfevents.1670312431.04812eda968b.2650899.0
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size 51860
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