End of training

README.md

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+---
+library_name: peft
+language:
+- zh
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- wft
+- whisper
+- automatic-speech-recognition
+- audio
+- speech
+- generated_from_trainer
+datasets:
+- JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-turbo-common_voice_16_1-zh-TW-2
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
+      type: JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
+    metrics:
+    - type: wer
+      value: 38.545016077170416
+      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_16_1-zh-TW-2
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2346
+- Wer: 38.5450
+- Cer: 10.8963
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 0      | 0    | 2.7503          | 76.5675 | 20.3917 |
+| 0.9352        | 0.9987 | 377  | 0.2472          | 47.9301 | 13.6656 |
+| 0.73          | 1.9980 | 754  | 0.2502          | 47.0056 | 13.5652 |
+| 0.4985        | 2.9974 | 1131 | 0.2559          | 46.2018 | 13.7057 |
+| 0.1928        | 3.9993 | 1509 | 0.2595          | 45.9606 | 13.0906 |
+| 0.2539        | 4.9987 | 1886 | 0.2522          | 44.7950 | 13.1459 |
+| 0.0607        | 5.9980 | 2263 | 0.2422          | 44.7548 | 12.5006 |
+| 0.0826        | 6.9974 | 2640 | 0.2488          | 43.8907 | 12.4906 |
+| 0.0151        | 7.9993 | 3018 | 0.2403          | 40.2331 | 11.4537 |
+| 0.0056        | 8.9987 | 3395 | 0.2390          | 39.8312 | 11.5290 |
+| 0.0056        | 9.9927 | 3770 | 0.2346          | 38.5450 | 10.8963 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.2
+- Tokenizers 0.20.1