Training in progress, step 3000

fine-tune-whisper-streaming.ipynb

@@ -1033,8 +1033,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='2001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [2001/5000 6:05:14 < 9:07:56, 0.09 it/s, Epoch 0.40/9223372036854775807]\n",
+       "      <progress value='3001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [3001/5000 10:24:07 < 6:56:01, 0.08 it/s, Epoch 0.60/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1052,6 +1052,12 @@
        "      <td>0.219434</td>\n",
        "      <td>6.819422</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2000</td>\n",
+       "      <td>0.033600</td>\n",
+       "      <td>0.209724</td>\n",
+       "      <td>6.755756</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1086,6 +1092,22 @@
       "  Num examples: Unknown\n",
       "  Batch size = 16\n",
       "Reading metadata...: 15520it [00:00, 27981.68it/s]\n",
+      "The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, segment, down_votes, age, up_votes, accent, locale, path, client_id, gender. If input_length, segment, down_votes, age, up_votes, accent, locale, path, client_id, gender are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.\n",
+      "Saving model checkpoint to ./checkpoint-2000\n",
+      "Configuration saved in ./checkpoint-2000/config.json\n",
+      "Model weights saved in ./checkpoint-2000/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-2000/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-2000/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-2000/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-2000/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",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 16\n",
+      "Reading metadata...: 15520it [00:00, 72511.74it/s]\n",
       "The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length, segment, down_votes, age, up_votes, accent, locale, path, client_id, gender. If input_length, segment, down_votes, age, up_votes, accent, locale, path, client_id, gender are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.\n"
      ]
     }

pytorch_model.bin

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runs/Dec13_15-58-24_132-145-140-45/events.out.tfevents.1670947194.132-145-140-45.70135.0

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