Training in progress, step 2000

fine-tune-whisper-streaming.ipynb

@@ -1064,8 +1064,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='1001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [1001/5000 2:01:56 < 8:08:06, 0.14 it/s, Epoch 0.20/9223372036854775807]\n",
+       "      <progress value='2001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [2001/5000 5:26:00 < 8:09:05, 0.10 it/s, Epoch 0.40/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1073,9 +1073,16 @@
        "      <th>Step</th>\n",
        "      <th>Training Loss</th>\n",
        "      <th>Validation Loss</th>\n",
+       "      <th>Wer</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.157000</td>\n",
+       "      <td>0.257123</td>\n",
+       "      <td>13.282745</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1094,6 +1101,22 @@
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
       "Reading metadata...: 15003it [00:02, 5938.84it/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-1000\n",
+      "Configuration saved in ./checkpoint-1000/config.json\n",
+      "Model weights saved in ./checkpoint-1000/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-1000/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-1000/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-1000/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-1000/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 = 8\n",
+      "Reading metadata...: 15003it [00:00, 39593.28it/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/Dec07_20-55-49_155-248-246-251/events.out.tfevents.1670446586.155-248-246-251.72616.0

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+size 17380