End of training

.ipynb_checkpoints/fine-tune-whisper-non-streaming-zh-TW-checkpoint.ipynb

@@ -1106,11 +1106,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de",
    "metadata": {
     "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de",
-    "scrolled": false
+    "scrolled": true
    },
    "outputs": [
     {
@@ -1134,8 +1134,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='601' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 601/1000 3:16:05 < 2:10:37, 0.05 it/s, Epoch 1.70/3]\n",
+       "      <progress value='606' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [ 606/1000 4:07:06 < 2:41:11, 0.04 it/s, Epoch 1.72/3]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1159,14 +1159,14 @@
        "      <td>0.101187</td>\n",
        "      <td>7.590416</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <td>600</td>\n",
+       "      <td>0.078400</td>\n",
+       "      <td>0.095110</td>\n",
+       "      <td>7.486474</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
-       "</table><p>\n",
-       "    <div>\n",
-       "      \n",
-       "      <progress value='330' max='2355' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [ 330/2355 07:22 < 45:21, 0.74 it/s]\n",
-       "    </div>\n",
-       "    "
+       "</table><p>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1200,7 +1200,28 @@
       "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",
       "***** Running Evaluation *****\n",
       "  Num examples = 4709\n",
-      "  Batch size = 2\n"
+      "  Batch size = 2\n",
+      "Saving model checkpoint to ./checkpoint-600\n",
+      "Configuration saved in ./checkpoint-600/config.json\n",
+      "Model weights saved in ./checkpoint-600/pytorch_model.bin\n",
+      "Feature extractor saved in ./checkpoint-600/preprocessor_config.json\n",
+      "Feature extractor saved in ./preprocessor_config.json\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[24], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/transformers/trainer.py:1535\u001b[0m, in \u001b[0;36mTrainer.train\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m   1530\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel_wrapped \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel\n\u001b[1;32m   1532\u001b[0m inner_training_loop \u001b[38;5;241m=\u001b[39m find_executable_batch_size(\n\u001b[1;32m   1533\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_inner_training_loop, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_train_batch_size, args\u001b[38;5;241m.\u001b[39mauto_find_batch_size\n\u001b[1;32m   1534\u001b[0m )\n\u001b[0;32m-> 1535\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minner_training_loop\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1536\u001b[0m \u001b[43m    \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1537\u001b[0m \u001b[43m    \u001b[49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1538\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtrial\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrial\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1539\u001b[0m \u001b[43m    \u001b[49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1540\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/transformers/trainer.py:1783\u001b[0m, in \u001b[0;36mTrainer._inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m   1781\u001b[0m         tr_loss_step \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtraining_step(model, inputs)\n\u001b[1;32m   1782\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1783\u001b[0m     tr_loss_step \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtraining_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1785\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m   1786\u001b[0m     args\u001b[38;5;241m.\u001b[39mlogging_nan_inf_filter\n\u001b[1;32m   1787\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_torch_tpu_available()\n\u001b[1;32m   1788\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m (torch\u001b[38;5;241m.\u001b[39misnan(tr_loss_step) \u001b[38;5;129;01mor\u001b[39;00m torch\u001b[38;5;241m.\u001b[39misinf(tr_loss_step))\n\u001b[1;32m   1789\u001b[0m ):\n\u001b[1;32m   1790\u001b[0m     \u001b[38;5;66;03m# if loss is nan or inf simply add the average of previous logged losses\u001b[39;00m\n\u001b[1;32m   1791\u001b[0m     tr_loss \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m tr_loss \u001b[38;5;241m/\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstate\u001b[38;5;241m.\u001b[39mglobal_step \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_globalstep_last_logged)\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/transformers/trainer.py:2541\u001b[0m, in \u001b[0;36mTrainer.training_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m   2538\u001b[0m     loss \u001b[38;5;241m=\u001b[39m loss \u001b[38;5;241m/\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mgradient_accumulation_steps\n\u001b[1;32m   2540\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdo_grad_scaling:\n\u001b[0;32m-> 2541\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscaler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscale\u001b[49m\u001b[43m(\u001b[49m\u001b[43mloss\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2542\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39muse_apex:\n\u001b[1;32m   2543\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m amp\u001b[38;5;241m.\u001b[39mscale_loss(loss, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptimizer) \u001b[38;5;28;01mas\u001b[39;00m scaled_loss:\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/torch/_tensor.py:487\u001b[0m, in \u001b[0;36mTensor.backward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m    477\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m has_torch_function_unary(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    478\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m    479\u001b[0m         Tensor\u001b[38;5;241m.\u001b[39mbackward,\n\u001b[1;32m    480\u001b[0m         (\u001b[38;5;28mself\u001b[39m,),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    485\u001b[0m         inputs\u001b[38;5;241m=\u001b[39minputs,\n\u001b[1;32m    486\u001b[0m     )\n\u001b[0;32m--> 487\u001b[0m \u001b[43mtorch\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mautograd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbackward\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    488\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgradient\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\n\u001b[1;32m    489\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/torch/autograd/__init__.py:197\u001b[0m, in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m    192\u001b[0m     retain_graph \u001b[38;5;241m=\u001b[39m create_graph\n\u001b[1;32m    194\u001b[0m \u001b[38;5;66;03m# The reason we repeat same the comment below is that\u001b[39;00m\n\u001b[1;32m    195\u001b[0m \u001b[38;5;66;03m# some Python versions print out the first line of a multi-line function\u001b[39;00m\n\u001b[1;32m    196\u001b[0m \u001b[38;5;66;03m# calls in the traceback and some print out the last line\u001b[39;00m\n\u001b[0;32m--> 197\u001b[0m \u001b[43mVariable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execution_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_backward\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Calls into the C++ engine to run the backward pass\u001b[39;49;00m\n\u001b[1;32m    198\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtensors\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgrad_tensors_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mretain_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate_graph\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    199\u001b[0m \u001b[43m    \u001b[49m\u001b[43mallow_unreachable\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maccumulate_grad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
    ],
@@ -1220,7 +1241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "id": "c704f91e-241b-48c9-b8e0-f0da396a9663",
    "metadata": {
     "id": "c704f91e-241b-48c9-b8e0-f0da396a9663"
@@ -1230,7 +1251,7 @@
     "kwargs = {\n",
     "    \"dataset_tags\": \"mozilla-foundation/common_voice_11_0\",\n",
     "    \"dataset\": \"mozilla-foundation/common_voice_11_0\",  # a 'pretty' name for the training dataset\n",
-    "    \"language\": \"zh-TW\",\n",
+    "#     \"language\": \"zh\",\n",
     "    \"model_name\": \"Whisper Medium TW - Augmented\",  # a 'pretty' name for your model\n",
     "    \"finetuned_from\": \"openai/whisper-medium\",\n",
     "    \"tasks\": \"automatic-speech-recognition\",\n",
@@ -1250,7 +1271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "id": "d7030622-caf7-4039-939b-6195cdaa2585",
    "metadata": {
     "id": "d7030622-caf7-4039-939b-6195cdaa2585"
@@ -1264,12 +1285,39 @@
       "Configuration saved in ./config.json\n",
       "Model weights saved in ./pytorch_model.bin\n",
       "Feature extractor saved in ./preprocessor_config.json\n",
-      "Several commits (3) will be pushed upstream.\n",
+      "Several commits (2) will be pushed upstream.\n",
       "The progress bars may be unreliable.\n",
-      "To https://huggingface.co/Scrya/whisper-medium-ms-augmented\n",
-      "   1684a4c..b46b3bd  main -> main\n",
+      "remote: ----------------------------------------------------------\u001b[0;31m        \n",
+      "remote: Sorry, your push was rejected during YAML metadata verification:        \n",
+      "remote: - Error: \"language[0]\" must only contain lowercase characters        \n",
+      "remote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \n",
+      "remote: ----------------------------------------------------------        \n",
+      "remote: Please find the documentation at:        \n",
+      "remote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \n",
+      "remote: ----------------------------------------------------------        \n",
+      "To https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n",
+      " ! [remote rejected] main -> main (pre-receive hook declined)\n",
+      "error: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n",
       "\n"
      ]
+    },
+    {
+     "ename": "OSError",
+     "evalue": "remote: ----------------------------------------------------------\u001b[0;31m        \nremote: Sorry, your push was rejected during YAML metadata verification:        \nremote: - Error: \"language[0]\" must only contain lowercase characters        \nremote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \nremote: ----------------------------------------------------------        \nremote: Please find the documentation at:        \nremote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \nremote: ----------------------------------------------------------        \nTo https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n ! [remote rejected] main -> main (pre-receive hook declined)\nerror: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mCalledProcessError\u001b[0m                        Traceback (most recent call last)",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1207\u001b[0m, in \u001b[0;36mRepository.git_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1206\u001b[0m             \u001b[38;5;28;01mif\u001b[39;00m return_code:\n\u001b[0;32m-> 1207\u001b[0m                 \u001b[38;5;28;01mraise\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError(\n\u001b[1;32m   1208\u001b[0m                     return_code, process\u001b[38;5;241m.\u001b[39margs, output\u001b[38;5;241m=\u001b[39mstdout, stderr\u001b[38;5;241m=\u001b[39mstderr\n\u001b[1;32m   1209\u001b[0m                 )\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
+      "\u001b[0;31mCalledProcessError\u001b[0m: Command '['git', 'push', '--set-upstream', 'origin', 'main']' returned non-zero exit status 1.",
+      "\nDuring handling of the above exception, another exception occurred:\n",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[28], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/transformers/trainer.py:3492\u001b[0m, in \u001b[0;36mTrainer.push_to_hub\u001b[0;34m(self, commit_message, blocking, **kwargs)\u001b[0m\n\u001b[1;32m   3489\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpush_in_progress\u001b[38;5;241m.\u001b[39m_process\u001b[38;5;241m.\u001b[39mkill()\n\u001b[1;32m   3490\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpush_in_progress \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 3492\u001b[0m git_head_commit_url \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrepo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   3493\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_message\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblocking\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblocking\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m   3494\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3495\u001b[0m \u001b[38;5;66;03m# push separately the model card to be independant from the rest of the model\u001b[39;00m\n\u001b[1;32m   3496\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mshould_save:\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1432\u001b[0m, in \u001b[0;36mRepository.push_to_hub\u001b[0;34m(self, commit_message, blocking, clean_ok, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1430\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgit_add(auto_lfs_track\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m   1431\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgit_commit(commit_message)\n\u001b[0;32m-> 1432\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgit_push\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1433\u001b[0m \u001b[43m    \u001b[49m\u001b[43mupstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43morigin \u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcurrent_branch\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1434\u001b[0m \u001b[43m    \u001b[49m\u001b[43mblocking\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblocking\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1435\u001b[0m \u001b[43m    \u001b[49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1436\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1212\u001b[0m, in \u001b[0;36mRepository.git_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1207\u001b[0m                 \u001b[38;5;28;01mraise\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError(\n\u001b[1;32m   1208\u001b[0m                     return_code, process\u001b[38;5;241m.\u001b[39margs, output\u001b[38;5;241m=\u001b[39mstdout, stderr\u001b[38;5;241m=\u001b[39mstderr\n\u001b[1;32m   1209\u001b[0m                 )\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m-> 1212\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m(exc\u001b[38;5;241m.\u001b[39mstderr)\n\u001b[1;32m   1214\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m blocking:\n\u001b[1;32m   1216\u001b[0m     \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstatus_method\u001b[39m():\n",
+      "\u001b[0;31mOSError\u001b[0m: remote: ----------------------------------------------------------\u001b[0;31m        \nremote: Sorry, your push was rejected during YAML metadata verification:        \nremote: - Error: \"language[0]\" must only contain lowercase characters        \nremote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \nremote: ----------------------------------------------------------        \nremote: Please find the documentation at:        \nremote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \nremote: ----------------------------------------------------------        \nTo https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n ! [remote rejected] main -> main (pre-receive hook declined)\nerror: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n"
+     ]
     }
    ],
    "source": [

fine-tune-whisper-non-streaming-zh-TW.ipynb

@@ -1241,7 +1241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "c704f91e-241b-48c9-b8e0-f0da396a9663",
    "metadata": {
     "id": "c704f91e-241b-48c9-b8e0-f0da396a9663"
@@ -1251,7 +1251,7 @@
     "kwargs = {\n",
     "    \"dataset_tags\": \"mozilla-foundation/common_voice_11_0\",\n",
     "    \"dataset\": \"mozilla-foundation/common_voice_11_0\",  # a 'pretty' name for the training dataset\n",
-    "    \"language\": \"zh-TW\",\n",
+    "#     \"language\": \"zh\",\n",
     "    \"model_name\": \"Whisper Medium TW - Augmented\",  # a 'pretty' name for your model\n",
     "    \"finetuned_from\": \"openai/whisper-medium\",\n",
     "    \"tasks\": \"automatic-speech-recognition\",\n",
@@ -1271,7 +1271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "d7030622-caf7-4039-939b-6195cdaa2585",
    "metadata": {
     "id": "d7030622-caf7-4039-939b-6195cdaa2585"
@@ -1286,34 +1286,7 @@
       "Model weights saved in ./pytorch_model.bin\n",
       "Feature extractor saved in ./preprocessor_config.json\n",
       "Several commits (2) will be pushed upstream.\n",
-      "The progress bars may be unreliable.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b13a362f26fc4129ab2aaa35464fa212",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Upload file pytorch_model.bin:   0%|          | 32.0k/2.85G [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "remote: Scanning LFS files for validity, may be slow...        \n",
-      "remote: LFS file scan complete.        \n",
-      "To https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n",
-      "   fef9a87..7a6740e  main -> main\n",
-      "\n",
-      "Dropping the following result as it does not have all the necessary fields:\n",
-      "{'task': {'name': 'Automatic Speech Recognition', 'type': 'automatic-speech-recognition'}, 'dataset': {'name': 'mozilla-foundation/common_voice_11_0', 'type': 'mozilla-foundation/common_voice_11_0', 'config': 'zh-TW', 'split': 'test', 'args': 'zh-TW'}}\n",
+      "The progress bars may be unreliable.\n",
       "remote: ----------------------------------------------------------\u001b[0;31m        \n",
       "remote: Sorry, your push was rejected during YAML metadata verification:        \n",
       "remote: - Error: \"language[0]\" must only contain lowercase characters        \n",
@@ -1325,31 +1298,26 @@
       "To https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n",
       " ! [remote rejected] main -> main (pre-receive hook declined)\n",
       "error: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n",
-      "\n",
-      "Error pushing update to the model card. Please read logs and retry.\n",
-      "$remote: ----------------------------------------------------------\u001b[0;31m        \n",
-      "remote: Sorry, your push was rejected during YAML metadata verification:        \n",
-      "remote: - Error: \"language[0]\" must only contain lowercase characters        \n",
-      "remote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \n",
-      "remote: ----------------------------------------------------------        \n",
-      "remote: Please find the documentation at:        \n",
-      "remote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \n",
-      "remote: ----------------------------------------------------------        \n",
-      "To https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n",
-      " ! [remote rejected] main -> main (pre-receive hook declined)\n",
-      "error: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n",
       "\n"
      ]
     },
     {
-     "data": {
-      "text/plain": [
-       "'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented/commit/7a6740ee8977e59498028062394c6547eec0ddb3'"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "OSError",
+     "evalue": "remote: ----------------------------------------------------------\u001b[0;31m        \nremote: Sorry, your push was rejected during YAML metadata verification:        \nremote: - Error: \"language[0]\" must only contain lowercase characters        \nremote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \nremote: ----------------------------------------------------------        \nremote: Please find the documentation at:        \nremote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \nremote: ----------------------------------------------------------        \nTo https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n ! [remote rejected] main -> main (pre-receive hook declined)\nerror: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mCalledProcessError\u001b[0m                        Traceback (most recent call last)",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1207\u001b[0m, in \u001b[0;36mRepository.git_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1206\u001b[0m             \u001b[38;5;28;01mif\u001b[39;00m return_code:\n\u001b[0;32m-> 1207\u001b[0m                 \u001b[38;5;28;01mraise\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError(\n\u001b[1;32m   1208\u001b[0m                     return_code, process\u001b[38;5;241m.\u001b[39margs, output\u001b[38;5;241m=\u001b[39mstdout, stderr\u001b[38;5;241m=\u001b[39mstderr\n\u001b[1;32m   1209\u001b[0m                 )\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
+      "\u001b[0;31mCalledProcessError\u001b[0m: Command '['git', 'push', '--set-upstream', 'origin', 'main']' returned non-zero exit status 1.",
+      "\nDuring handling of the above exception, another exception occurred:\n",
+      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[28], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/transformers/trainer.py:3492\u001b[0m, in \u001b[0;36mTrainer.push_to_hub\u001b[0;34m(self, commit_message, blocking, **kwargs)\u001b[0m\n\u001b[1;32m   3489\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpush_in_progress\u001b[38;5;241m.\u001b[39m_process\u001b[38;5;241m.\u001b[39mkill()\n\u001b[1;32m   3490\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpush_in_progress \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 3492\u001b[0m git_head_commit_url \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrepo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpush_to_hub\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   3493\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcommit_message\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcommit_message\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblocking\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblocking\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m   3494\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3495\u001b[0m \u001b[38;5;66;03m# push separately the model card to be independant from the rest of the model\u001b[39;00m\n\u001b[1;32m   3496\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mshould_save:\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1432\u001b[0m, in \u001b[0;36mRepository.push_to_hub\u001b[0;34m(self, commit_message, blocking, clean_ok, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1430\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgit_add(auto_lfs_track\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m   1431\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgit_commit(commit_message)\n\u001b[0;32m-> 1432\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgit_push\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1433\u001b[0m \u001b[43m    \u001b[49m\u001b[43mupstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43morigin \u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcurrent_branch\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1434\u001b[0m \u001b[43m    \u001b[49m\u001b[43mblocking\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mblocking\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1435\u001b[0m \u001b[43m    \u001b[49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauto_lfs_prune\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1436\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/whisper/lib/python3.8/site-packages/huggingface_hub/repository.py:1212\u001b[0m, in \u001b[0;36mRepository.git_push\u001b[0;34m(self, upstream, blocking, auto_lfs_prune)\u001b[0m\n\u001b[1;32m   1207\u001b[0m                 \u001b[38;5;28;01mraise\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError(\n\u001b[1;32m   1208\u001b[0m                     return_code, process\u001b[38;5;241m.\u001b[39margs, output\u001b[38;5;241m=\u001b[39mstdout, stderr\u001b[38;5;241m=\u001b[39mstderr\n\u001b[1;32m   1209\u001b[0m                 )\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m subprocess\u001b[38;5;241m.\u001b[39mCalledProcessError \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m-> 1212\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m(exc\u001b[38;5;241m.\u001b[39mstderr)\n\u001b[1;32m   1214\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m blocking:\n\u001b[1;32m   1216\u001b[0m     \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstatus_method\u001b[39m():\n",
+      "\u001b[0;31mOSError\u001b[0m: remote: ----------------------------------------------------------\u001b[0;31m        \nremote: Sorry, your push was rejected during YAML metadata verification:        \nremote: - Error: \"language[0]\" must only contain lowercase characters        \nremote: - Error: \"language[0]\" with value \"zh-TW\" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like \"code\", \"multilingual\". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.\u001b[0;32m        \nremote: ----------------------------------------------------------        \nremote: Please find the documentation at:        \nremote: https://huggingface.co/docs/hub/model-cards#model-card-metadata\u001b[0;0m        \nremote: ----------------------------------------------------------        \nTo https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented\n ! [remote rejected] main -> main (pre-receive hook declined)\nerror: failed to push some refs to 'https://huggingface.co/Scrya/whisper-medium-zh-TW-augmented'\n"
+     ]
     }
    ],
    "source": [