Training in progress, step 400

fine-tune-whisper-streaming.ipynb

@@ -911,8 +911,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='201' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 201/1000 22:31 < 1:30:27, 0.15 it/s, Epoch 1.06/9223372036854775807]\n",
+       "      <progress value='401' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 401/1000 1:11:13 < 1:46:55, 0.09 it/s, Epoch 2.12/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -920,9 +920,16 @@
        "      <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>200</td>\n",
+       "      <td>0.220800</td>\n",
+       "      <td>0.278119</td>\n",
+       "      <td>81.117889</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -943,6 +950,24 @@
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
       "Reading metadata...: 4604it [00:00, 27155.92it/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-200\n",
+      "Configuration saved in ./checkpoint-200/config.json\n",
+      "Model weights saved in ./checkpoint-200/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-200/preprocessor_config.json\n",
+      "tokenizer config file saved in ./checkpoint-200/tokenizer_config.json\n",
+      "Special tokens file saved in ./checkpoint-200/special_tokens_map.json\n",
+      "added tokens file saved in ./checkpoint-200/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...: 6505it [00:00, 44457.32it/s]\n",
+      "Reading metadata...: 4485it [00:00, 29197.09it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4604it [00:00, 34447.62it/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/Dec12_04-37-47_150-136-44-233/events.out.tfevents.1670819878.150-136-44-233.69039.0

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