Training in progress, step 800

fine-tune-whisper-streaming.ipynb

@@ -878,8 +878,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='701' max='3000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 701/3000 3:45:19 < 12:21:06, 0.05 it/s, Epoch 1.11/9223372036854775807]\n",
+       "      <progress value='801' max='3000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 801/3000 4:15:59 < 11:44:32, 0.05 it/s, Epoch 2.02/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1071,7 +1071,15 @@
       "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"
+      "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",
+      "Reading metadata...: 18211it [00:03, 5334.89it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 20\n",
+      "Reading metadata...: 8693it [00:01, 7603.67it/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"
      ]
     }
    ],

pytorch_model.bin

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runs/Dec06_07-40-22_04812eda968b/events.out.tfevents.1670312431.04812eda968b.2650899.0

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