Training in progress, step 5000

fine-tune-whisper-streaming.ipynb

@@ -875,8 +875,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='4001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [4001/5000 5:08:08 < 1:16:58, 0.22 it/s, Epoch 24.02/9223372036854775807]\n",
+       "      <progress value='5001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [5000/5000 6:31:22, Epoch 30.02/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -906,6 +906,12 @@
        "      <td>0.545756</td>\n",
        "      <td>35.784333</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4000</td>\n",
+       "      <td>0.000500</td>\n",
+       "      <td>0.565175</td>\n",
+       "      <td>35.824036</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -996,6 +1002,28 @@
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
       "Reading metadata...: 3749it [00:00, 24211.98it/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-4000\n",
+      "Configuration saved in ./checkpoint-4000/config.json\n",
+      "Model weights saved in ./checkpoint-4000/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-4000/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-4000/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-4000/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-4000/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, 28263.75it/s]\n",
+      "Reading metadata...: 5194it [00:00, 30236.16it/s]\n",
+      "Reading metadata...: 5194it [00:00, 30038.26it/s]\n",
+      "Reading metadata...: 5194it [00:00, 24802.88it/s]\n",
+      "Reading metadata...: 5194it [00:00, 8652.20it/s]\n",
+      "Reading metadata...: 5194it [00:00, 28454.75it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 3749it [00:00, 4607.71it/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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 size 967102601

runs/Dec14_09-49-59_129-146-98-164/events.out.tfevents.1671011416.129-146-98-164.123311.0

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+size 37262