Training in progress, step 1000

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/whisper-small",
+  "_name_or_path": "checkpoint-2000",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "architectures": [

fine-tune-whisper-streaming.ipynb

@@ -154,71 +154,14 @@
    "execution_count": 2,
    "id": "a2787582-554f-44ce-9f38-4180a5ed6b44",
    "metadata": {},
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-    {
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-    }
-   ],
+   "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\", \"lt\", 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\", \"lt\", split=\"test\", use_auth_token=True)"
+    "raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"sr\", 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\", \"sr\", split=\"test\", use_auth_token=True)"
    ]
   },
   {
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    "execution_count": 3,
    "id": "77d9f0c5-8607-4642-a8ac-c3ab2e223ea6",
    "metadata": {},
-   "outputs": [
-    {
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+   "outputs": [],
    "source": [
     "from transformers import WhisperProcessor\n",
     "\n",
-    "processor = WhisperProcessor.from_pretrained(\"openai/whisper-small\", language=\"Lithuanian\", task=\"transcribe\")"
+    "processor = WhisperProcessor.from_pretrained(\"openai/whisper-small\", language=\"Serbian\", task=\"transcribe\")"
    ]
   },
   {
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    "execution_count": 14,
    "id": "b22b4011-f31f-4b57-b684-c52332f92890",
    "metadata": {},
-   "outputs": [
-    {
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-       "model_id": "98ab67e0e7c14bbebd4f8526e604c70b",
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-     "metadata": {},
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-    }
-   ],
+   "outputs": [],
    "source": [
     "import evaluate\n",
     "\n",
@@ -809,40 +638,11 @@
    "execution_count": 16,
    "id": "5a10cc4b-07ec-4ebd-ac1d-7c601023594f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
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-       "model_id": "b801991734784e80a45e0fa326e29760",
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-   ],
+   "outputs": [],
    "source": [
     "from transformers import WhisperForConditionalGeneration\n",
     "\n",
-    "model = WhisperForConditionalGeneration.from_pretrained(\"openai/whisper-small\")"
+    "model = WhisperForConditionalGeneration.from_pretrained(\"checkpoint-2000\")"
    ]
   },
   {
@@ -1065,8 +865,8 @@
       "  Gradient Accumulation steps = 1\n",
       "  Total optimization steps = 2000\n",
       "  Number of trainable parameters = 241734912\n",
-      "Reading metadata...: 5194it [00:00, 22097.32it/s]\n",
-      "Reading metadata...: 3690it [00:00, 17242.11it/s]\n",
+      "Reading metadata...: 1045it [00:00, 5692.34it/s]\n",
+      "Reading metadata...: 623it [00:00, 4270.71it/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"
      ]
     },
@@ -1076,8 +876,8 @@
        "\n",
        "    <div>\n",
        "      \n",
-       "      <progress value='2001' max='2000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      [2000/2000 4:01:33, Epoch 17.01/9223372036854775807]\n",
+       "      <progress value='1001' max='2000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [1001/2000 1:45:14 < 1:45:14, 0.16 it/s, Epoch 49.01/9223372036854775807]\n",
        "    </div>\n",
        "    <table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
@@ -1085,16 +885,9 @@
        "      <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>0.009000</td>\n",
-       "      <td>0.444009</td>\n",
-       "      <td>34.279589</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table><p>"
       ],
@@ -1109,60 +902,108 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Reading metadata...: 5194it [00:00, 28115.87it/s]\n",
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-      "Reading metadata...: 5194it [00:00, 57949.57it/s]\n",
-      "Reading metadata...: 3690it [00:00, 72940.98it/s]\n",
-      "***** Running Evaluation *****\n",
-      "  Num examples: Unknown\n",
-      "  Batch size = 8\n",
-      "Reading metadata...: 3749it [00:00, 17477.47it/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",
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       "***** Running Evaluation *****\n",
       "  Num examples: Unknown\n",
       "  Batch size = 8\n",
-      "Reading metadata...: 3749it [00:00, 23184.29it/s]\n",
+      "Reading metadata...: 677it [00:00, 4738.28it/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"
      ]
     }
@@ -1201,8 +1042,7 @@
     "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\": \"lt\",\n",
-    "    \"model_name\": \"Whisper Small Lt and Sr\",  # a 'pretty' name for your model\n",
+    "    \"model_name\": \"Whisper Small Lithuanian and Serbian sequentially trained\",  # a 'pretty' name for your model\n",
     "    \"finetuned_from\": \"openai/whisper-small\",\n",
     "    \"tasks\": \"automatic-speech-recognition\",\n",
     "    \"tags\": \"whisper-event\",\n",

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