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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-base-zh |
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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-base-zh |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3426 |
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- Wer: 78.6221 |
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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: 5e-06 |
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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: 100 |
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- training_steps: 4000 |
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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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| 0.4992 | 0.2075 | 100 | 0.4841 | 93.0091 | |
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| 0.4325 | 0.4149 | 200 | 0.4223 | 82.7761 | |
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| 0.4028 | 0.6224 | 300 | 0.3979 | 81.6616 | |
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| 0.3866 | 0.8299 | 400 | 0.3846 | 79.8886 | |
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| 0.3322 | 1.0373 | 500 | 0.3731 | 80.3951 | |
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| 0.3108 | 1.2448 | 600 | 0.3672 | 79.2300 | |
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| 0.3139 | 1.4523 | 700 | 0.3601 | 79.1287 | |
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| 0.324 | 1.6598 | 800 | 0.3558 | 78.7741 | |
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| 0.2629 | 1.8672 | 900 | 0.3525 | 78.1155 | |
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| 0.2421 | 2.0747 | 1000 | 0.3521 | 78.5208 | |
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| 0.217 | 2.2822 | 1100 | 0.3495 | 78.3688 | |
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| 0.2071 | 2.4896 | 1200 | 0.3490 | 78.5714 | |
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| 0.2183 | 2.6971 | 1300 | 0.3452 | 78.6727 | |
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| 0.2158 | 2.9046 | 1400 | 0.3426 | 78.6221 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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