Training in progress, step 900
Browse files
fine-tune-whisper-streaming.ipynb
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" <td>0.290584</td>\n",
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" <td>13.667205</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, 7603.67it/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='901' max='3000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [ 901/3000 4:47:05 < 11:10:18, 0.05 it/s, Epoch 2.06/9223372036854775807]\n",
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" <td>0.290584</td>\n",
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" <td>13.667205</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>800</td>\n",
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" <td>0.082000</td>\n",
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" <td>0.277728</td>\n",
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" <td>12.956381</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>900</td>\n",
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" <td>0.068900</td>\n",
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" <td>0.285183</td>\n",
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" <td>12.988691</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, 7603.67it/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-800\n",
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"Configuration saved in ./checkpoint-800/config.json\n",
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"Model weights saved in ./checkpoint-800/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-800/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-800/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-800/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-800/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 [00:02, 3167.33it/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-900\n",
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"Configuration saved in ./checkpoint-900/config.json\n",
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"Model weights saved in ./checkpoint-900/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-900/preprocessor_config.json\n",
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"tokenizer config file saved in ./checkpoint-900/tokenizer_config.json\n",
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"Special tokens file saved in ./checkpoint-900/special_tokens_map.json\n",
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"added tokens file saved in ./checkpoint-900/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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