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--- |
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base_model: openai/whisper-tiny |
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language: |
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- ja |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Tiny Japanese Combine 4k - Chee Li |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Japanese Combine 4k - Chee Li |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on the Meta JSON Japanese Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8869 |
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- Wer: 396.6874 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 8000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 2.441 | 4.1322 | 1000 | 2.4726 | 406.5217 | |
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| 1.8098 | 8.2645 | 2000 | 2.0185 | 462.4224 | |
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| 1.2666 | 12.3967 | 3000 | 1.5918 | 404.3478 | |
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| 0.8324 | 16.5289 | 4000 | 1.2738 | 460.8696 | |
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| 0.5744 | 20.6612 | 5000 | 1.0687 | 607.0393 | |
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| 0.3308 | 24.7934 | 6000 | 0.9561 | 532.7122 | |
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| 0.242 | 28.9256 | 7000 | 0.9024 | 461.0766 | |
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| 0.1651 | 33.0579 | 8000 | 0.8869 | 396.6874 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.20.1 |
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