Training in progress, step 3000

fine-tune-whisper-streaming.ipynb

@@ -875,8 +875,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='2001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [2001/5000 2:23:52 < 3:35:51, 0.23 it/s, Epoch 12.01/9223372036854775807]\n",
+       "      <progress value='3001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [3001/5000 3:46:27 < 2:30:56, 0.22 it/s, Epoch 18.01/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -894,6 +894,12 @@
        "      <td>0.474486</td>\n",
        "      <td>37.983881</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2000</td>\n",
+       "      <td>0.001600</td>\n",
+       "      <td>0.512787</td>\n",
+       "      <td>35.974908</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -940,6 +946,28 @@
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
       "Reading metadata...: 3749it [00:00, 31235.80it/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-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",
+      "Reading metadata...: 5194it [00:00, 24646.28it/s]\n",
+      "Reading metadata...: 5194it [00:00, 28103.75it/s]\n",
+      "Reading metadata...: 5194it [00:00, 25879.94it/s]\n",
+      "Reading metadata...: 5194it [00:00, 16387.12it/s]\n",
+      "Reading metadata...: 5194it [00:00, 30893.30it/s]\n",
+      "Reading metadata...: 5194it [00:00, 30292.42it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 3749it [00:00, 28834.15it/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/Dec14_09-49-59_129-146-98-164/events.out.tfevents.1671011416.129-146-98-164.123311.0

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