Training in progress, step 100

fine-tune-whisper-streaming.ipynb

@@ -886,8 +886,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='71' max='100' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 71/100 21:37 < 09:05, 0.05 it/s, Epoch 0.70/9223372036854775807]\n",
+       "      <progress value='99' max='100' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 99/100 31:43 < 00:19, 0.05 it/s, Epoch 0.98/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -935,6 +935,24 @@
        "      <td>0.669629</td>\n",
        "      <td>46.719160</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>70</td>\n",
+       "      <td>0.388100</td>\n",
+       "      <td>0.648503</td>\n",
+       "      <td>48.818898</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>80</td>\n",
+       "      <td>0.420200</td>\n",
+       "      <td>0.626310</td>\n",
+       "      <td>50.656168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>90</td>\n",
+       "      <td>0.342300</td>\n",
+       "      <td>0.602524</td>\n",
+       "      <td>50.918635</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1044,7 +1062,49 @@
       "***** Running Evaluation *****\n",
       "  Num examples: Unknown\n",
       "  Batch size = 32\n",
-      "Reading metadata...: 8693it [00:01, 7724.39it/s]\n"
+      "Reading metadata...: 8693it [00:01, 7724.39it/s]\n",
+      "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",
+      "Saving model checkpoint to ./checkpoint-70\n",
+      "Configuration saved in ./checkpoint-70/config.json\n",
+      "Model weights saved in ./checkpoint-70/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-70/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-70/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-70/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-70/added_tokens.json\n",
+      "Feature extractor saved in ./preprocessor_config.json\n",
+      "tokenizer config file saved in ./tokenizer_config.json\n",
+      "Special tokens file saved in ./special_tokens_map.json\n",
+      "added tokens file saved in ./added_tokens.json\n",
+      "/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",
+      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 32\n",
+      "Reading metadata...: 8693it [00:02, 3249.16it/s]\n",
+      "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",
+      "Saving model checkpoint to ./checkpoint-80\n",
+      "Configuration saved in ./checkpoint-80/config.json\n",
+      "Model weights saved in ./checkpoint-80/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-80/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-80/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-80/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-80/added_tokens.json\n",
+      "/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",
+      "  warnings.warn('Was asked to gather along dimension 0, but all '\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 32\n",
+      "Reading metadata...: 8693it [00:02, 3111.55it/s]\n",
+      "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",
+      "Saving model checkpoint to ./checkpoint-90\n",
+      "Configuration saved in ./checkpoint-90/config.json\n",
+      "Model weights saved in ./checkpoint-90/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-90/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-90/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-90/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-90/added_tokens.json\n",
+      "/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",
+      "  warnings.warn('Was asked to gather along dimension 0, but all '\n"
      ]
     }
    ],

pytorch_model.bin

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runs/Dec06_02-49-42_04812eda968b/events.out.tfevents.1670295010.04812eda968b.1031606.3

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