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Model: JacobLinCool/whisper-large-v3-turbo-common_voice_19_0-zh-TW Source: Original Platform
2026-05-08 11:40:38 +08:00
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--- a/README.md
+++ b/README.md
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+---
+library_name: transformers
+language:
+- zh
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- wft
+- whisper
+- automatic-speech-recognition
+- audio
+- speech
+- generated_from_trainer
+datasets:
+- JacobLinCool/common_voice_19_0_zh-TW
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-turbo-common_voice_19_0-zh-TW
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: JacobLinCool/common_voice_19_0_zh-TW
+      type: JacobLinCool/common_voice_19_0_zh-TW
+    metrics:
+    - type: wer
+      value: 32.55535607420706
+      name: Wer
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-large-v3-turbo-common_voice_19_0-zh-TW
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the JacobLinCool/common_voice_19_0_zh-TW dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1786
+- Wer: 32.5554
+- Cer: 8.6009
+- Decode Runtime: 90.9833
+- Wer Runtime: 0.1257
+- Cer Runtime: 0.1534
+
+## Model description
+
+This is an open-source Traditional Chinese (Taiwan) automatic speech recognition (ASR) model.
+
+## Intended uses & limitations
+
+This model is designed to be a prompt-free ASR model for Traditional Chinese. Due to its inherited language identification (LID) system from Whisper, which supports other Chinese language variants under the same language token (`zh`), we expect that performance may degrade when transcribing Simplified Chinese.
+
+The model is free to use under the MIT license.
+
+## Training and evaluation data
+
+This model was trained on the [Common Voice Corpus 19.0 Chinese (Taiwan) Subset](https://huggingface.co/datasets/JacobLinCool/common_voice_19_0_zh-TW), containing about 50k training examples (44 hours) and 5k test examples (5 hours). This dataset is four times larger than the combination of training and validation set (`train+validation`) of [mozilla-foundation/common_voice_16_1](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1), which includes about 12k examples.
+
+## Training procedure
+
+[Tensorboard](https://huggingface.co/JacobLinCool/whisper-large-v3-turbo-common_voice_19_0-zh-TW-lora/tensorboard)
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     | Decode Runtime | Wer Runtime | Cer Runtime |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:|
+| No log        | 0      | 0    | 2.7208          | 76.5011 | 20.4851 | 89.4916        | 0.1213      | 0.1639      |
+| 1.1832        | 0.1    | 500  | 0.1939          | 39.9561 | 10.8721 | 90.0926        | 0.1222      | 0.1555      |
+| 1.5179        | 0.2    | 1000 | 0.1774          | 37.6621 | 9.9322  | 89.8657        | 0.1225      | 0.1545      |
+| 0.6179        | 0.3    | 1500 | 0.1796          | 36.2657 | 9.8325  | 90.2480        | 0.1198      | 0.1573      |
+| 0.3626        | 1.0912 | 2000 | 0.1846          | 36.2258 | 9.7801  | 90.3306        | 0.1196      | 0.1539      |
+| 0.1311        | 1.1912 | 2500 | 0.1776          | 34.8095 | 9.3214  | 90.3124        | 0.1286      | 0.1610      |
+| 0.1263        | 1.2912 | 3000 | 0.1763          | 36.1261 | 9.3563  | 90.4271        | 0.1330      | 0.1650      |
+| 0.2194        | 2.0825 | 3500 | 0.1891          | 34.6898 | 9.3114  | 91.1932        | 0.1320      | 0.1643      |
+| 0.1127        | 2.1825 | 4000 | 0.1838          | 34.0714 | 9.1095  | 90.2416        | 0.1196      | 0.1529      |
+| 0.3792        | 2.2824 | 4500 | 0.1786          | 33.1339 | 8.7679  | 90.9144        | 0.1310      | 0.1550      |
+| 0.0606        | 3.0737 | 5000 | 0.1786          | 32.5554 | 8.6009  | 90.9833        | 0.1257      | 0.1534      |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.4.0
+- Datasets 3.0.2
+- Tokenizers 0.20.1
--- a/added_tokens.json
+++ b/added_tokens.json
--- a/config.json
+++ b/config.json
@@ -0,0 +1,50 @@
+{
+  "_name_or_path": "openai/whisper-large-v3-turbo",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 128,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51866
+}
--- a/generation_config.json
+++ b/generation_config.json
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+{
+  "alignment_heads": [
+    [
+      2,
+      4
+    ],
+    [
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+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+    "<|yi|>": 50335,
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+    "<|zh|>": 50260
+  },
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.46.1"
+}
--- a/merges.txt
+++ b/merges.txt
--- a/model.safetensors
+++ b/model.safetensors
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+oid sha256:506ea515a0be7ab9a0912f2211233655369dbc47f6ff39258870c29b45ff833d
+size 1617825448
--- a/normalizer.json
+++ b/normalizer.json
--- a/preprocessor_config.json
+++ b/preprocessor_config.json
@@ -0,0 +1,14 @@
+{
+  "chunk_length": 30,
+  "feature_extractor_type": "WhisperFeatureExtractor",
+  "feature_size": 128,
+  "hop_length": 160,
+  "n_fft": 400,
+  "n_samples": 480000,
+  "nb_max_frames": 3000,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "WhisperProcessor",
+  "return_attention_mask": false,
+  "sampling_rate": 16000
+}
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
@@ -0,0 +1,139 @@
+{
+  "additional_special_tokens": [
+    "<|startoftranscript|>",
+    "<|en|>",
+    "<|zh|>",
+    "<|de|>",
+    "<|es|>",
+    "<|ru|>",
+    "<|ko|>",
+    "<|fr|>",
+    "<|ja|>",
+    "<|pt|>",
+    "<|tr|>",
+    "<|pl|>",
+    "<|ca|>",
+    "<|nl|>",
+    "<|ar|>",
+    "<|sv|>",
+    "<|it|>",
+    "<|id|>",
+    "<|hi|>",
+    "<|fi|>",
+    "<|vi|>",
+    "<|he|>",
+    "<|uk|>",
+    "<|el|>",
+    "<|ms|>",
+    "<|cs|>",
+    "<|ro|>",
+    "<|da|>",
+    "<|hu|>",
+    "<|ta|>",
+    "<|no|>",
+    "<|th|>",
+    "<|ur|>",
+    "<|hr|>",
+    "<|bg|>",
+    "<|lt|>",
+    "<|la|>",
+    "<|mi|>",
+    "<|ml|>",
+    "<|cy|>",
+    "<|sk|>",
+    "<|te|>",
+    "<|fa|>",
+    "<|lv|>",
+    "<|bn|>",
+    "<|sr|>",
+    "<|az|>",
+    "<|sl|>",
+    "<|kn|>",
+    "<|et|>",
+    "<|mk|>",
+    "<|br|>",
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+    "<|is|>",
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+    "<|yo|>",
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+    "<|am|>",
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+    "<|lo|>",
+    "<|uz|>",
+    "<|fo|>",
+    "<|ht|>",
+    "<|ps|>",
+    "<|tk|>",
+    "<|nn|>",
+    "<|mt|>",
+    "<|sa|>",
+    "<|lb|>",
+    "<|my|>",
+    "<|bo|>",
+    "<|tl|>",
+    "<|mg|>",
+    "<|as|>",
+    "<|tt|>",
+    "<|haw|>",
+    "<|ln|>",
+    "<|ha|>",
+    "<|ba|>",
+    "<|jw|>",
+    "<|su|>",
+    "<|yue|>",
+    "<|translate|>",
+    "<|transcribe|>",
+    "<|startoflm|>",
+    "<|startofprev|>",
+    "<|nospeech|>",
+    "<|notimestamps|>"
+  ],
+  "bos_token": {
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
+  },
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+    "single_word": false
+  },
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+    "lstrip": false,
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+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
--- a/vocab.json
+++ b/vocab.json