Training in progress, step 1000

.ipynb_checkpoints/fine-tune-whisper-streaming-checkpoint.ipynb

@@ -1066,8 +1066,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='29' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [  29/5000 02:50 < 8:42:35, 0.16 it/s, Epoch 0.01/9223372036854775807]\n",
+       "      <progress value='35' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [  35/5000 03:29 < 8:46:02, 0.16 it/s, Epoch 0.01/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1115,7 +1115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 40,
    "id": "6dd0e310-9b07-4133-ac14-2ed2d7524e22",
    "metadata": {},
    "outputs": [],
@@ -1123,7 +1123,7 @@
     "kwargs = {\n",
     "    \"dataset_tags\": \"mozilla-foundation/common_voice_11_0\",\n",
     "    \"dataset\": \"Common Voice 11.0\",  # a 'pretty' name for the training dataset\n",
-    "    \"language\": \"zh-TW\",\n",
+    "    \"language\": \"zh\",\n",
     "    \"model_name\": \"Whisper Small Chinese - Kimbo Chen\",  # a 'pretty' name for your model\n",
     "    \"finetuned_from\": \"openai/whisper-small\",\n",
     "    \"tasks\": \"automatic-speech-recognition\",\n",
@@ -1141,7 +1141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 41,
    "id": "95737cda-c5dd-4887-a4d0-dfcb0d61d977",
    "metadata": {},
    "outputs": [
@@ -1155,82 +1155,21 @@
       "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"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dc59052a3b7f45b2b896c03763c79f57",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Upload file pytorch_model.bin:   0%|          | 32.0k/922M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1c58442a44e84af9a6dff915e036de83",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Upload file training_args.bin: 100%|##########| 3.50k/3.50k [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/kimbochen/whisper-small-zh-tw\n",
-      "   2ee4cf3..214645d  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': 'Common Voice 11.0', 'type': 'mozilla-foundation/common_voice_11_0', 'config': 'zh-TW', 'split': 'test', 'args': 'zh-TW'}}\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/kimbochen/whisper-small-zh-tw\n",
-      " ! [remote rejected] main -> main (pre-receive hook declined)\n",
-      "error: failed to push some refs to 'https://huggingface.co/kimbochen/whisper-small-zh-tw'\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",
+      "added tokens file saved in ./added_tokens.json\n",
+      "Several commits (2) will be pushed upstream.\n",
+      "The progress bars may be unreliable.\n",
       "To https://huggingface.co/kimbochen/whisper-small-zh-tw\n",
-      " ! [remote rejected] main -> main (pre-receive hook declined)\n",
-      "error: failed to push some refs to 'https://huggingface.co/kimbochen/whisper-small-zh-tw'\n",
+      "   61dfe27..a94bfc3  main -> main\n",
       "\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "'https://huggingface.co/kimbochen/whisper-small-zh-tw/commit/214645d6cd1f0e7ab6a65a854eec2e349529961c'"
+       "'https://huggingface.co/kimbochen/whisper-small-zh-tw/commit/a94bfc3cbb71b83e10525899df53ee0d4db96e32'"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }

fine-tune-whisper-streaming.ipynb

@@ -145,70 +145,15 @@
    "execution_count": 2,
    "id": "a2787582-554f-44ce-9f38-4180a5ed6b44",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ecce3a630cdb4ebab217a88a0163b257",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading builder script:   0%|          | 0.00/8.30k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
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-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b0141b068f944775867034bc494f88d7",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Downloading readme:   0%|          | 0.00/12.2k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
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-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9dd1f4ded47c4160b55f1bcedce2694f",
-       "version_major": 2,
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-      },
-      "text/plain": [
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
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-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a442da1e2a6b4271bae8ae0c655594b6",
-       "version_major": 2,
-       "version_minor": 0
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from datasets import IterableDatasetDict\n",
     "\n",
     "raw_datasets = IterableDatasetDict()\n",
     "\n",
-    "raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"train\", use_auth_token=True)  # set split=\"train+validation\" for low-resource\n",
+    "# raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-CN\", split=\"train\", use_auth_token=True)  # set split=\"train+validation\" for low-resource\n",
+    "# raw_datasets[\"test\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-CN\", split=\"test\", use_auth_token=True)\n",
+    "raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"train+validation\", use_auth_token=True)  # set split=\"train+validation\" for low-resource\n",
     "raw_datasets[\"test\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"test\", use_auth_token=True)"
    ]
   },
@@ -244,107 +189,10 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "77d9f0c5-8607-4642-a8ac-c3ab2e223ea6",
-   "metadata": {},
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-      "application/vnd.jupyter.widget-view+json": {
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-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "from transformers import WhisperProcessor\n",
     "\n",
@@ -706,22 +554,7 @@
    "execution_count": 14,
    "id": "b22b4011-f31f-4b57-b684-c52332f92890",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bafc0b31fe9a4d239eedc348d5521dfc",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import evaluate\n",
     "\n",
@@ -800,36 +633,7 @@
    "execution_count": 16,
    "id": "5a10cc4b-07ec-4ebd-ac1d-7c601023594f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e1d5d79e596a416aa96bde21be6fb551",
-       "version_major": 2,
-       "version_minor": 0
-      },
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-      ]
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3d722a61d7a440479d0f5497a6200345",
-       "version_major": 2,
-       "version_minor": 0
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from transformers import WhisperForConditionalGeneration\n",
     "\n",
@@ -874,10 +678,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 22,
    "id": "0ae3e9af-97b7-4aa0-ae85-20b23b5bcb3a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "PyTorch: setting up devices\n"
+     ]
+    }
+   ],
    "source": [
     "from transformers import Seq2SeqTrainingArguments\n",
     "\n",
@@ -953,7 +765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "id": "d546d7fe-0543-479a-b708-2ebabec19493",
    "metadata": {},
    "outputs": [
@@ -992,7 +804,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "id": "a1ccb9ed-cbc8-4419-91c0-651e9424b672",
    "metadata": {},
    "outputs": [
@@ -1056,7 +868,8 @@
       "  Gradient Accumulation steps = 1\n",
       "  Total optimization steps = 5000\n",
       "  Number of trainable parameters = 241734912\n",
-      "Reading metadata...: 6568it [00:00, 41540.60it/s]\n",
+      "Reading metadata...: 6568it [00:00, 82605.00it/s]\n",
+      "Reading metadata...: 4709it [00:00, 34808.15it/s]\n",
       "The following columns in the training 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"
      ]
     },
@@ -1066,8 +879,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='35' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [  35/5000 03:29 < 8:46:02, 0.16 it/s, Epoch 0.01/9223372036854775807]\n",
+       "      <progress value='1001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [1001/5000 1:48:25 < 7:14:02, 0.15 it/s, Epoch 6.02/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1075,9 +888,16 @@
        "      <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>0.004600</td>\n",
+       "      <td>0.210189</td>\n",
+       "      <td>41.801433</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1087,6 +907,40 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Reading metadata...: 6568it [00:00, 59821.30it/s]\n",
+      "Reading metadata...: 4709it [00:00, 76452.83it/s]\n",
+      "Reading metadata...: 6568it [00:00, 88722.02it/s]\n",
+      "Reading metadata...: 4709it [00:00, 33936.10it/s]\n",
+      "Reading metadata...: 6568it [00:00, 20936.31it/s]\n",
+      "Reading metadata...: 4709it [00:00, 20573.38it/s]\n",
+      "Reading metadata...: 6568it [00:00, 67954.78it/s]\n",
+      "Reading metadata...: 4709it [00:00, 58312.87it/s]\n",
+      "Reading metadata...: 6568it [00:00, 89351.95it/s]\n",
+      "Reading metadata...: 4709it [00:00, 26579.06it/s]\n",
+      "Reading metadata...: 6568it [00:00, 56758.03it/s]\n",
+      "Reading metadata...: 4709it [00:00, 80017.25it/s]\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples: Unknown\n",
+      "  Batch size = 8\n",
+      "Reading metadata...: 4709it [00:00, 31641.56it/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"
+     ]
     }
    ],
    "source": [
@@ -1115,7 +969,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 40,
    "id": "6dd0e310-9b07-4133-ac14-2ed2d7524e22",
    "metadata": {},
    "outputs": [],
@@ -1123,7 +977,7 @@
     "kwargs = {\n",
     "    \"dataset_tags\": \"mozilla-foundation/common_voice_11_0\",\n",
     "    \"dataset\": \"Common Voice 11.0\",  # a 'pretty' name for the training dataset\n",
-    "    \"language\": \"zh-TW\",\n",
+    "    \"language\": \"zh\",\n",
     "    \"model_name\": \"Whisper Small Chinese - Kimbo Chen\",  # a 'pretty' name for your model\n",
     "    \"finetuned_from\": \"openai/whisper-small\",\n",
     "    \"tasks\": \"automatic-speech-recognition\",\n",
@@ -1141,7 +995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "id": "95737cda-c5dd-4887-a4d0-dfcb0d61d977",
    "metadata": {},
    "outputs": [
@@ -1156,14 +1010,22 @@
       "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",
-      "Several commits (13) will be pushed upstream.\n",
+      "Several commits (2) will be pushed upstream.\n",
       "The progress bars may be unreliable.\n",
-      "remote: Scanning LFS files for validity, may be slow...        \n",
-      "remote: LFS file scan complete.        \n",
       "To https://huggingface.co/kimbochen/whisper-small-zh-tw\n",
-      "   214645d..6f314a7  main -> main\n",
+      "   61dfe27..a94bfc3  main -> main\n",
       "\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
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