Training in progress, step 400
Browse files
fine-tune-whisper-non-streaming-ms.ipynb
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"\n",
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" <div>\n",
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" \n",
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" [
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" <td>10.310466</td>\n",
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" <td>3.068475</td>\n",
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" </tr>\n",
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"</table><p>"
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],
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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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"\n",
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" <div>\n",
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" \n",
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" <progress value='401' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [ 401/1000 1:19:29 < 1:59:20, 0.08 it/s, Epoch 4.30/11]\n",
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" </div>\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <td>10.310466</td>\n",
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" <td>3.068475</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>400</td>\n",
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" <td>0.006400</td>\n",
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" <td>0.197434</td>\n",
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" <td>9.700380</td>\n",
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" <td>2.959615</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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"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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"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-400\n",
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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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]
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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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