JacobLinCool
/

whisper-large-v3-turbo-common_voice_16_1-zh-TW-pissa-merged

@@ -1,199 +1,94 @@
 ---
 library_name: transformers
-tags: []
 ---
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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/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-turbo-common_voice_16_1-zh-TW-pissa
+  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: 63.665594855305464
+      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-pissa
+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: 0.5133
+- Wer: 63.6656
+- Cer: 23.5752
+## 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: 4
+- eval_batch_size: 4
+- 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
+- num_epochs: 10
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 0      | 0    | 2.7520          | 77.6125 | 20.7783 |
+| 7.6982        | 0.9987 | 377  | 0.8744          | 87.9421 | 41.2804 |
+| 5.1677        | 2.0    | 755  | 0.7499          | 82.5965 | 36.6407 |
+| 3.3647        | 2.9987 | 1132 | 0.6433          | 76.8087 | 31.6068 |
+| 3.4711        | 4.0    | 1510 | 0.6397          | 76.2460 | 30.2862 |
+| 1.5694        | 4.9987 | 1887 | 0.5779          | 71.5434 | 27.5471 |
+| 0.7951        | 6.0    | 2265 | 0.5664          | 71.3223 | 27.0600 |
+| 0.4709        | 6.9987 | 2642 | 0.5492          | 68.8706 | 26.0131 |
+| 0.116         | 8.0    | 3020 | 0.5427          | 66.7605 | 24.8104 |
+| 0.0512        | 8.9987 | 3397 | 0.5298          | 66.1375 | 24.8632 |
+| 0.0273        | 9.9868 | 3770 | 0.5133          | 63.6656 | 23.5752 |
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.4.0
+- Datasets 3.0.2
+- Tokenizers 0.20.1