Training in progress, step 70
Browse files
fine-tune-whisper-streaming.ipynb
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" <td>0.702946</td>\n",
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" <td>51.443570</td>\n",
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" </tr>\n",
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" Num examples: Unknown\n",
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" Batch size = 32\n",
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"Reading metadata...: 8693it [00:01, 7522.25it/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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" <progress value='71' max='100' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [ 71/100 21:37 < 09:05, 0.05 it/s, Epoch 0.70/9223372036854775807]\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <td>0.702946</td>\n",
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" <td>51.443570</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>40</td>\n",
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" <td>0.511800</td>\n",
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" <td>0.694216</td>\n",
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" <td>49.606299</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>50</td>\n",
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" <td>0.398100</td>\n",
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" <td>0.682893</td>\n",
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" <td>48.556430</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>60</td>\n",
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" <td>0.473400</td>\n",
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" <td>0.669629</td>\n",
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" <td>46.719160</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 = 32\n",
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"Reading metadata...: 8693it [00:01, 7522.25it/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-40\n",
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"Configuration saved in ./checkpoint-40/config.json\n",
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"Model weights saved in ./checkpoint-40/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-40/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-40/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-40/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-40/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 = 32\n",
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"Reading metadata...: 8693it [00:02, 4089.09it/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-50\n",
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"Configuration saved in ./checkpoint-50/config.json\n",
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"Model weights saved in ./checkpoint-50/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-50/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-50/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-50/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-50/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 = 32\n",
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"Reading metadata...: 8693it [00:02, 3824.34it/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-60\n",
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"Configuration saved in ./checkpoint-60/config.json\n",
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"Model weights saved in ./checkpoint-60/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-60/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-60/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-60/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-60/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 = 32\n",
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"Reading metadata...: 8693it [00:01, 7724.39it/s]\n"
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]
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}
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],
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pytorch_model.bin
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size 967099139
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runs/Dec06_02-49-42_04812eda968b/events.out.tfevents.1670295010.04812eda968b.1031606.3
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