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--- |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: whisper-small-yue-mdcc-1 |
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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-small-yue-mdcc-1 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2556 |
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- Cer: 13.0495 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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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: 500 |
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- training_steps: 5000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.5014 | 1.05 | 100 | 0.3315 | 27.2477 | |
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| 0.1895 | 2.11 | 200 | 0.2321 | 16.3903 | |
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| 0.1272 | 3.16 | 300 | 0.2210 | 15.7561 | |
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| 0.0759 | 4.21 | 400 | 0.2191 | 14.2006 | |
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| 0.0363 | 5.26 | 500 | 0.2249 | 16.1079 | |
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| 0.02 | 6.32 | 600 | 0.2320 | 13.4516 | |
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| 0.0112 | 7.37 | 700 | 0.2398 | 13.0711 | |
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| 0.0062 | 8.42 | 800 | 0.2497 | 13.0902 | |
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| 0.0048 | 9.47 | 900 | 0.2556 | 13.0495 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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