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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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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-tiny |
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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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model-index: |
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- name: Whisper Tiny chinese - VingeNie |
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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 chinese - VingeNie |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2238 |
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- Cer Ortho: 12.1911 |
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- Cer: 9.6411 |
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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: 64 |
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- eval_batch_size: 32 |
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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: 200 |
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- training_steps: 2400 |
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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 | Cer Ortho | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.3743 | 0.4762 | 400 | 0.3739 | 24.9883 | 15.7515 | |
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| 0.3062 | 0.9524 | 800 | 0.3034 | 17.2255 | 12.8821 | |
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| 0.2075 | 1.4286 | 1200 | 0.2715 | 14.9716 | 11.5961 | |
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| 0.1894 | 1.9048 | 1600 | 0.2445 | 13.9330 | 10.5500 | |
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| 0.1222 | 2.3810 | 2000 | 0.2330 | 12.5011 | 9.9106 | |
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| 0.1125 | 2.8571 | 2400 | 0.2238 | 12.1911 | 9.6411 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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