diff --git "a/.ipynb_checkpoints/fine-tune-whisper-streaming-checkpoint.ipynb" "b/.ipynb_checkpoints/fine-tune-whisper-streaming-checkpoint.ipynb" --- "a/.ipynb_checkpoints/fine-tune-whisper-streaming-checkpoint.ipynb" +++ "b/.ipynb_checkpoints/fine-tune-whisper-streaming-checkpoint.ipynb" @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 15, "id": "065a8cf7-e54f-4ac3-900e-609c80714fca", "metadata": {}, "outputs": [], @@ -142,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 37, "id": "a2787582-554f-44ce-9f38-4180a5ed6b44", "metadata": {}, "outputs": [], @@ -151,12 +151,12 @@ "\n", "raw_datasets = IterableDatasetDict()\n", "\n", - "raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-CN\", split=\"train\", use_auth_token=True)\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-CN\", split=\"train\", use_auth_token=True)\n", + "# raw_datasets[\"test\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-CN\", split=\"test\", use_auth_token=True)\n", "\n", "# zh-TW is low resource\n", - "# raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"train+validation\", use_auth_token=True)\n", - "# raw_datasets[\"test\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"test\", use_auth_token=True)" + "raw_datasets[\"train\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"train+validation\", use_auth_token=True)\n", + "raw_datasets[\"test\"] = load_streaming_dataset(\"mozilla-foundation/common_voice_11_0\", \"zh-TW\", split=\"test\", use_auth_token=True)" ] }, { @@ -189,109 +189,16395 @@ }, { 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/home/ubuntu/.cache/huggingface/hub/models--openai--whisper-small/snapshots/ecd562088fc463cdf07bf4a997944edeae03993e/tokenizer_config.json\n", + "Adding <|endoftext|> to the vocabulary\n", + "Adding <|startoftranscript|> to the vocabulary\n", + "Adding <|en|> to the vocabulary\n", + "Adding <|zh|> to the vocabulary\n", + "Adding <|de|> to the vocabulary\n", + "Adding <|es|> to the vocabulary\n", + "Adding <|ru|> to the vocabulary\n", + "Adding <|ko|> to the vocabulary\n", + "Adding <|fr|> to the vocabulary\n", + "Adding <|ja|> to the vocabulary\n", + "Adding <|pt|> to the vocabulary\n", + "Adding <|tr|> to the vocabulary\n", + "Adding <|pl|> to the vocabulary\n", + "Adding <|ca|> to the vocabulary\n", + "Adding <|nl|> to the vocabulary\n", + "Adding <|ar|> to the vocabulary\n", + "Adding <|sv|> to the vocabulary\n", + "Adding <|it|> to the vocabulary\n", + "Adding <|id|> to the vocabulary\n", + "Adding <|hi|> to the vocabulary\n", + "Adding <|fi|> to the vocabulary\n", + "Adding <|vi|> to the vocabulary\n", + "Adding <|iw|> to the vocabulary\n", + "Adding <|uk|> to the vocabulary\n", + "Adding <|el|> to the vocabulary\n", + "Adding <|ms|> to the vocabulary\n", + "Adding <|cs|> to the vocabulary\n", + "Adding <|ro|> to the vocabulary\n", + "Adding <|da|> to the vocabulary\n", + "Adding <|hu|> to the vocabulary\n", + "Adding <|ta|> to the vocabulary\n", + "Adding <|no|> to the vocabulary\n", + "Adding <|th|> to the vocabulary\n", + "Adding <|ur|> to the vocabulary\n", + "Adding <|hr|> to the vocabulary\n", + "Adding <|bg|> to the vocabulary\n", + "Adding <|lt|> to the vocabulary\n", + "Adding <|la|> to the vocabulary\n", + "Adding <|mi|> to the vocabulary\n", + "Adding <|ml|> to the vocabulary\n", + "Adding <|cy|> to the vocabulary\n", + "Adding <|sk|> to the vocabulary\n", + "Adding <|te|> to the vocabulary\n", + "Adding <|fa|> to the vocabulary\n", + "Adding <|lv|> to the vocabulary\n", + "Adding <|bn|> to the vocabulary\n", + "Adding <|sr|> to the vocabulary\n", + "Adding <|az|> to the vocabulary\n", + "Adding <|sl|> to the vocabulary\n", + "Adding <|kn|> to the vocabulary\n", + "Adding <|et|> to the vocabulary\n", + "Adding <|mk|> to the vocabulary\n", + "Adding <|br|> to the vocabulary\n", + "Adding <|eu|> to the vocabulary\n", + "Adding <|is|> to the vocabulary\n", + "Adding <|hy|> to the vocabulary\n", + "Adding <|ne|> to the vocabulary\n", + "Adding <|mn|> to the vocabulary\n", + "Adding <|bs|> to the vocabulary\n", + "Adding <|kk|> to the vocabulary\n", + "Adding <|sq|> to the vocabulary\n", + "Adding <|sw|> to the vocabulary\n", + "Adding <|gl|> to the vocabulary\n", + "Adding <|mr|> to the vocabulary\n", + "Adding <|pa|> to the vocabulary\n", + "Adding <|si|> to the vocabulary\n", + "Adding <|km|> to the vocabulary\n", + "Adding <|sn|> to the vocabulary\n", + "Adding <|yo|> to the vocabulary\n", + "Adding <|so|> to the vocabulary\n", + "Adding <|af|> to the vocabulary\n", + "Adding <|oc|> to the vocabulary\n", + "Adding <|ka|> to the vocabulary\n", + "Adding <|be|> to the vocabulary\n", + "Adding <|tg|> to the vocabulary\n", + "Adding <|sd|> to the vocabulary\n", + "Adding <|gu|> to the vocabulary\n", + "Adding <|am|> to the vocabulary\n", + "Adding <|yi|> to the vocabulary\n", + "Adding <|lo|> to the vocabulary\n", + "Adding <|uz|> to the vocabulary\n", + "Adding <|fo|> to the vocabulary\n", + "Adding <|ht|> to the vocabulary\n", + "Adding <|ps|> to the vocabulary\n", + "Adding <|tk|> to the vocabulary\n", + "Adding <|nn|> to the vocabulary\n", + "Adding <|mt|> to the vocabulary\n", + "Adding <|sa|> to the vocabulary\n", + "Adding <|lb|> to the vocabulary\n", + "Adding <|my|> to the vocabulary\n", + "Adding <|bo|> to the vocabulary\n", + "Adding <|tl|> to the vocabulary\n", + "Adding <|mg|> to the vocabulary\n", + "Adding <|as|> to the vocabulary\n", + "Adding <|tt|> to the vocabulary\n", + "Adding <|haw|> to the vocabulary\n", + "Adding <|ln|> to the vocabulary\n", + "Adding <|ha|> to the vocabulary\n", + "Adding <|ba|> to the vocabulary\n", + "Adding <|jw|> to the vocabulary\n", + "Adding <|su|> to the vocabulary\n", + "Adding <|translate|> to the vocabulary\n", + "Adding <|transcribe|> to the vocabulary\n", + "Adding <|startoflm|> to the vocabulary\n", + "Adding <|startofprev|> to the vocabulary\n", + "Adding <|nocaptions|> to the vocabulary\n", + "Adding <|notimestamps|> to the vocabulary\n" + ] } ], "source": [ @@ -318,7 +16604,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 39, "id": "ab5a13b4-9bd4-4aa0-aef2-b3de9b762988", "metadata": {}, "outputs": [ @@ -338,7 +16624,7 @@ " 'segment': Value(dtype='string', id=None)}" ] }, - "execution_count": 5, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -364,7 +16650,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 40, "id": "3ab6a724-3d1e-478b-a9e9-d2f85feb6c39", "metadata": {}, "outputs": [], @@ -384,7 +16670,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 41, "id": "d041650e-1c48-4439-87b3-5b6f4a514107", "metadata": {}, "outputs": [], @@ -411,7 +16697,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 42, "id": "c085911c-a10a-41ef-8874-306e0503e9bb", "metadata": {}, "outputs": [], @@ -447,7 +16733,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 43, "id": "a37a7cdb-9013-427f-8de9-6a8d0e9dc684", "metadata": {}, "outputs": [], @@ -465,7 +16751,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 44, "id": "1b145699-acfc-4b1d-93a2-a2ad3d62674c", "metadata": {}, "outputs": [], @@ -486,7 +16772,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 45, "id": "01cb25ef-4bb0-4325-9461-f59198acadf6", "metadata": {}, "outputs": [], @@ -507,7 +16793,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 46, "id": "333f7f6e-6053-4d3b-8924-c733c79b82ac", "metadata": {}, "outputs": [], @@ -577,7 +16863,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 47, "id": "8326221e-ec13-4731-bb4e-51e5fc1486c5", "metadata": {}, "outputs": [], @@ -625,7 +16911,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 48, "id": "fc834702-c0d3-4a96-b101-7b87be32bf42", "metadata": {}, "outputs": [], @@ -652,25 +16938,10 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 49, "id": "b22b4011-f31f-4b57-b684-c52332f92890", "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "037e658a8e194212a068ba9eea85cf11", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading builder script: 0%| | 0.00/4.49k [00:00, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import evaluate\n", "\n", @@ -696,7 +16967,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 50, "id": "a11d1bfc-9e28-460f-a287-72d8f7bc1acb", "metadata": {}, "outputs": [], @@ -746,37 +17017,164 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 51, "id": "5a10cc4b-07ec-4ebd-ac1d-7c601023594f", "metadata": {}, "outputs": [ { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d7c74c4e4fc3495393f4060c8d5e4bb2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/1.97k [00:00, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "77b037a9877a417d88d6f1bdd975e034", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| | 0.00/967M [00:00, ?B/s]" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-small/snapshots/ecd562088fc463cdf07bf4a997944edeae03993e/config.json\n", + "Model config WhisperConfig {\n", + " \"_name_or_path\": \"openai/whisper-small\",\n", + " \"activation_dropout\": 0.0,\n", + " \"activation_function\": \"gelu\",\n", + " \"architectures\": [\n", + " \"WhisperForConditionalGeneration\"\n", + " ],\n", + " \"attention_dropout\": 0.0,\n", + " \"begin_suppress_tokens\": [\n", + " 220,\n", + " 50257\n", + " ],\n", + " \"bos_token_id\": 50257,\n", + " \"d_model\": 768,\n", + " \"decoder_attention_heads\": 12,\n", + " \"decoder_ffn_dim\": 3072,\n", + " \"decoder_layerdrop\": 0.0,\n", + " \"decoder_layers\": 12,\n", + " \"decoder_start_token_id\": 50258,\n", + " \"dropout\": 0.0,\n", + " \"encoder_attention_heads\": 12,\n", + " \"encoder_ffn_dim\": 3072,\n", + " \"encoder_layerdrop\": 0.0,\n", + " \"encoder_layers\": 12,\n", + " \"eos_token_id\": 50257,\n", + " \"forced_decoder_ids\": [\n", + " [\n", + " 1,\n", + " 50259\n", + " ],\n", + " [\n", + " 2,\n", + " 50359\n", + " ],\n", + " [\n", + " 3,\n", + " 50363\n", + " ]\n", + " ],\n", + " \"init_std\": 0.02,\n", + " \"is_encoder_decoder\": true,\n", + " \"max_length\": 448,\n", + " \"max_source_positions\": 1500,\n", + " \"max_target_positions\": 448,\n", + " \"model_type\": \"whisper\",\n", + " \"num_hidden_layers\": 12,\n", + " \"num_mel_bins\": 80,\n", + " \"pad_token_id\": 50257,\n", + " \"scale_embedding\": false,\n", + " \"suppress_tokens\": [\n", + " 1,\n", + " 2,\n", + " 7,\n", + " 8,\n", + " 9,\n", + " 10,\n", + " 14,\n", + " 25,\n", + " 26,\n", + " 27,\n", + " 28,\n", + " 29,\n", + " 31,\n", + " 58,\n", + " 59,\n", + " 60,\n", + " 61,\n", + " 62,\n", + " 63,\n", + " 90,\n", + " 91,\n", + " 92,\n", + " 93,\n", + " 359,\n", + " 503,\n", + " 522,\n", + " 542,\n", + " 873,\n", + " 893,\n", + " 902,\n", + " 918,\n", + " 922,\n", + " 931,\n", + " 1350,\n", + " 1853,\n", + " 1982,\n", + " 2460,\n", + " 2627,\n", + " 3246,\n", + " 3253,\n", + " 3268,\n", + " 3536,\n", + " 3846,\n", + " 3961,\n", + " 4183,\n", + " 4667,\n", + " 6585,\n", + " 6647,\n", + " 7273,\n", + " 9061,\n", + " 9383,\n", + " 10428,\n", + " 10929,\n", + " 11938,\n", + " 12033,\n", + " 12331,\n", + " 12562,\n", + " 13793,\n", + " 14157,\n", + " 14635,\n", + " 15265,\n", + " 15618,\n", + " 16553,\n", + " 16604,\n", + " 18362,\n", + " 18956,\n", + " 20075,\n", + " 21675,\n", + " 22520,\n", + " 26130,\n", + " 26161,\n", + " 26435,\n", + " 28279,\n", + " 29464,\n", + " 31650,\n", + " 32302,\n", + " 32470,\n", + " 36865,\n", + " 42863,\n", + " 47425,\n", + " 49870,\n", + " 50254,\n", + " 50258,\n", + " 50360,\n", + " 50361,\n", + " 50362\n", + " ],\n", + " \"torch_dtype\": \"float32\",\n", + " \"transformers_version\": \"4.26.0.dev0\",\n", + " \"use_cache\": true,\n", + " \"vocab_size\": 51865\n", + "}\n", + "\n", + "loading weights file pytorch_model.bin from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-small/snapshots/ecd562088fc463cdf07bf4a997944edeae03993e/pytorch_model.bin\n", + "All model checkpoint weights were used when initializing WhisperForConditionalGeneration.\n", + "\n", + "All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-small.\n", + "If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training.\n" + ] } ], "source": [ @@ -795,7 +17193,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 52, "id": "62038ba3-88ed-4fce-84db-338f50dcd04f", "metadata": {}, "outputs": [], @@ -823,10 +17221,18 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 53, "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", @@ -835,15 +17241,15 @@ " per_device_train_batch_size=64,\n", " gradient_accumulation_steps=1, # increase by 2x for every 2x decrease in batch size\n", " learning_rate=1e-5,\n", - " warmup_steps=200,\n", - " max_steps=2000,\n", + " warmup_steps=100,\n", + " max_steps=1000,\n", " gradient_checkpointing=True,\n", " fp16=True,\n", " evaluation_strategy=\"steps\",\n", " per_device_eval_batch_size=8,\n", " predict_with_generate=True,\n", " generation_max_length=225,\n", - " save_steps=400,\n", + " save_steps=200,\n", " eval_steps=200,\n", " logging_steps=25,\n", " report_to=[\"tensorboard\"],\n", @@ -873,7 +17279,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 54, "id": "3ac16b62-b3c0-4c68-8f3d-9ecf471534b2", "metadata": {}, "outputs": [], @@ -902,7 +17308,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 55, "id": "d546d7fe-0543-479a-b708-2ebabec19493", "metadata": {}, "outputs": [ @@ -941,7 +17347,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 56, "id": "a1ccb9ed-cbc8-4419-91c0-651e9424b672", "metadata": {}, "outputs": [ @@ -1000,14 +17406,15 @@ "/home/ubuntu/.venv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", " warnings.warn(\n", "***** Running training *****\n", - " Num examples = 128000\n", + " Num examples = 64000\n", " Num Epochs = 9223372036854775807\n", " Instantaneous batch size per device = 64\n", " Total train batch size (w. parallel, distributed & accumulation) = 64\n", " Gradient Accumulation steps = 1\n", - " Total optimization steps = 2000\n", + " Total optimization steps = 1000\n", " Number of trainable parameters = 241734912\n", - "Reading metadata...: 29056it [00:00, 64790.22it/s]\n", + "Reading metadata...: 6568it [00:00, 31531.18it/s]\n", + "Reading metadata...: 4709it [00:00, 27757.91it/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" ] }, @@ -1017,8 +17424,8 @@ "\n", "
Step | \n", "Training Loss | \n", "Validation Loss | \n", + "Wer | \n", " \n", " \n", " \n", + "
---|---|---|---|
200 | \n", + "0.143800 | \n", + "0.182196 | \n", + "42.436029 | \n", + "
400 | \n", + "0.031500 | \n", + "0.186944 | \n", + "42.128966 | \n", + "
600 | \n", + "0.011300 | \n", + "0.195321 | \n", + "40.634596 | \n", + "
" ], @@ -1043,11 +17469,62 @@ "name": "stderr", "output_type": "stream", "text": [ + "Reading metadata...: 6568it [00:00, 36204.27it/s]\n", + "Reading metadata...: 4709it [00:00, 51489.81it/s]\n", "***** Running Evaluation *****\n", " Num examples: Unknown\n", " Batch size = 8\n", - "Reading metadata...: 10581it [00:00, 28979.41it/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" + "Reading metadata...: 4709it [00:00, 28976.18it/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, 38299.83it/s]\n", + "Reading metadata...: 4709it [00:00, 30779.86it/s]\n", + "***** Running Evaluation *****\n", + " Num examples: Unknown\n", + " Batch size = 8\n", + "Reading metadata...: 4709it [00:00, 26095.46it/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-400\n", + "Configuration saved in ./checkpoint-400/config.json\n", + "Model weights saved in ./checkpoint-400/pytorch_model.bin\n", + "Feature extractor saved in ./checkpoint-400/preprocessor_config.json\n", + "tokenizer config file saved in ./checkpoint-400/tokenizer_config.json\n", + "Special tokens file saved in ./checkpoint-400/special_tokens_map.json\n", + "added tokens file saved in ./checkpoint-400/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, 41768.54it/s]\n", + "Reading metadata...: 4709it [00:00, 23263.16it/s]\n", + "Reading metadata...: 6568it [00:00, 38529.47it/s]\n", + "Reading metadata...: 4709it [00:00, 70740.82it/s]\n", + "***** Running Evaluation *****\n", + " Num examples: Unknown\n", + " Batch size = 8\n", + "Reading metadata...: 4709it [00:00, 77474.87it/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-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", + "tokenizer config file saved in ./checkpoint-600/tokenizer_config.json\n", + "Special tokens file saved in ./checkpoint-600/special_tokens_map.json\n", + "added tokens file saved in ./checkpoint-600/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" ] } ],