Training in progress, step 400
Browse files
fine-tune-whisper-streaming.ipynb
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" <th>Step</th>\n",
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" <th>Training Loss</th>\n",
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" <progress value='301' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [ 301/1000 52:05 < 2:01:46, 0.10 it/s, Epoch 2.00/9223372036854775807]\n",
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" <thead>\n",
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" <th>Step</th>\n",
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" <th>Training Loss</th>\n",
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" <th>Wer</th>\n",
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" <td>200</td>\n",
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" <td>0.143800</td>\n",
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" <td>0.182196</td>\n",
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" <td>42.436029</td>\n",
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" </tr>\n",
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"</table><p>"
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"metadata": {},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Reading metadata...: 6568it [00:00, 36204.27it/s]\n",
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"Reading metadata...: 4709it [00:00, 51489.81it/s]\n",
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"***** Running Evaluation *****\n",
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" Num examples: Unknown\n",
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" Batch size = 8\n",
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"Reading metadata...: 4709it [00:00, 28976.18it/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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"Reading metadata...: 6568it [00:00, 38299.83it/s]\n",
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"Reading metadata...: 4709it [00:00, 30779.86it/s]\n"
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]
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}
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],
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"source": [
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pytorch_model.bin
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runs/Dec12_02-00-57_129-213-26-143/events.out.tfevents.1670810506.129-213-26-143.742932.2
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