Training in progress, step 400

fine-tune-whisper-streaming.ipynb

@@ -17424,8 +17424,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='201' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 201/1000 22:02 < 1:28:28, 0.15 it/s, Epoch 1.05/9223372036854775807]\n",
+       "      <progress value='401' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 401/1000 1:01:47 < 1:32:45, 0.11 it/s, Epoch 2.10/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -17433,9 +17433,16 @@
        "      <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>0.007300</td>\n",
+       "      <td>0.196525</td>\n",
+       "      <td>41.187308</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -17456,6 +17463,24 @@
       "  Num examples: Unknown\n",
       "  Batch size = 32\n",
       "Reading metadata...: 4709it [00:00, 75164.22it/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...: 6568it [00:00, 78233.67it/s]\n",
+      "Reading metadata...: 4709it [00:00, 70360.54it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 32\n",
+      "Reading metadata...: 4709it [00:00, 23558.64it/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_05-39-20_129-213-26-143/events.out.tfevents.1670823583.129-213-26-143.742932.4

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