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--- |
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language: |
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- zh |
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license: apache-2.0 |
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base_model: ZhihCheng/whisper-base-zh |
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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 v2 |
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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 v2 |
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This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1986 |
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- Wer: 68.75 |
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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: 4 |
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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: 25 |
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- training_steps: 500 |
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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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| 0.0375 | 0.85 | 50 | 0.1724 | 68.75 | |
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| 0.0164 | 1.69 | 100 | 0.1800 | 68.75 | |
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| 0.0044 | 2.54 | 150 | 0.1788 | 68.75 | |
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| 0.0031 | 3.39 | 200 | 0.1927 | 68.75 | |
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| 0.0009 | 4.24 | 250 | 0.1736 | 62.5 | |
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| 0.0009 | 5.08 | 300 | 0.1984 | 75.0 | |
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| 0.0006 | 5.93 | 350 | 0.2019 | 75.0 | |
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| 0.0005 | 6.78 | 400 | 0.1988 | 75.0 | |
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| 0.0005 | 7.63 | 450 | 0.1989 | 68.75 | |
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| 0.0005 | 8.47 | 500 | 0.1986 | 68.75 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0a0+6a974be |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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