Training in progress, step 600
Browse files
fine-tune-whisper-non-streaming-ms.ipynb
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"\n",
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" [
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" <td>9.700380</td>\n",
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" <td>2.959615</td>\n",
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],
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"Configuration saved in ./checkpoint-400/config.json\n",
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"Model weights saved in ./checkpoint-400/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-400/preprocessor_config.json\n",
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"Feature extractor saved in ./preprocessor_config.json\n"
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" <progress value='601' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [ 601/1000 2:05:23 < 1:23:31, 0.08 it/s, Epoch 6.45/11]\n",
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" </div>\n",
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" <tr>\n",
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" <td>600</td>\n",
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" <td>0.001400</td>\n",
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" <td>0.203103</td>\n",
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" <td>9.619035</td>\n",
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" <td>2.895466</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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"Configuration saved in ./checkpoint-400/config.json\n",
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"Model weights saved in ./checkpoint-400/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-400/preprocessor_config.json\n",
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"Feature extractor saved in ./preprocessor_config.json\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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"***** Running Evaluation *****\n",
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" Num examples = 749\n",
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" Batch size = 2\n",
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"Saving model checkpoint to ./checkpoint-600\n",
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"Configuration saved in ./checkpoint-600/config.json\n",
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"Model weights saved in ./checkpoint-600/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-600/preprocessor_config.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/Dec20_10-49-53_DANDAN/events.out.tfevents.1671504600.DANDAN.793.0
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