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--- |
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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: chinese-english-whisper-finetune-take2 |
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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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# chinese-english-whisper-finetune-take2 |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1626 |
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- Wer: 82.7131 |
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- Mer: 68.6675 |
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- Cer: 28.2875 |
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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: 0.0001 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 1000 |
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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 | Mer | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:-------:| |
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| 0.1649 | 1.0811 | 200 | 1.2727 | 107.8031 | 70.1080 | 46.0846 | |
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| 0.1139 | 2.1622 | 400 | 1.2402 | 100.4802 | 71.9088 | 35.4459 | |
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| 0.0526 | 3.2432 | 600 | 1.2208 | 88.4754 | 69.0276 | 33.3300 | |
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| 0.0261 | 4.3243 | 800 | 1.1673 | 81.7527 | 66.9868 | 28.8709 | |
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| 0.0086 | 5.4054 | 1000 | 1.1626 | 82.7131 | 68.6675 | 28.2875 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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