Training in progress, step 800

fine-tune-whisper-streaming.ipynb

@@ -17424,8 +17424,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='301' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 301/1000 52:05 < 2:01:46, 0.10 it/s, Epoch 2.00/9223372036854775807]\n",
+       "      <progress value='801' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 801/1000 2:25:04 < 36:07, 0.09 it/s, Epoch 5.06/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -17443,6 +17443,24 @@
        "      <td>0.182196</td>\n",
        "      <td>42.436029</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>400</td>\n",
+       "      <td>0.031500</td>\n",
+       "      <td>0.186944</td>\n",
+       "      <td>42.128966</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>600</td>\n",
+       "      <td>0.011300</td>\n",
+       "      <td>0.195321</td>\n",
+       "      <td>40.634596</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>800</td>\n",
+       "      <td>0.005300</td>\n",
+       "      <td>0.194970</td>\n",
+       "      <td>40.675537</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -17476,7 +17494,61 @@
       "Special tokens file saved in ./special_tokens_map.json\n",
       "added tokens file saved in ./added_tokens.json\n",
       "Reading metadata...: 6568it [00:00, 38299.83it/s]\n",
-      "Reading metadata...: 4709it [00:00, 30779.86it/s]\n"
+      "Reading metadata...: 4709it [00:00, 30779.86it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4709it [00:00, 26095.46it/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-400\n",
+      "Configuration saved in ./checkpoint-400/config.json\n",
+      "Model weights saved in ./checkpoint-400/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-400/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-400/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-400/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-400/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",
+      "Reading metadata...: 6568it [00:00, 41768.54it/s]\n",
+      "Reading metadata...: 4709it [00:00, 23263.16it/s]\n",
+      "Reading metadata...: 6568it [00:00, 38529.47it/s]\n",
+      "Reading metadata...: 4709it [00:00, 70740.82it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4709it [00:00, 77474.87it/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-600\n",
+      "Configuration saved in ./checkpoint-600/config.json\n",
+      "Model weights saved in ./checkpoint-600/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-600/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-600/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-600/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-600/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",
+      "Reading metadata...: 6568it [00:01, 5110.39it/s]\n",
+      "Reading metadata...: 4709it [00:01, 4212.71it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4709it [00:00, 24099.70it/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-800\n",
+      "Configuration saved in ./checkpoint-800/config.json\n",
+      "Model weights saved in ./checkpoint-800/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-800/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-800/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-800/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-800/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"
      ]
     }
    ],

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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