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--- |
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library_name: transformers |
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language: |
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- id |
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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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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Id - Tiny - Test |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: id |
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split: None |
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args: 'config: id, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 58.26771653543307 |
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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 Id - Tiny - Test |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2371 |
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- Wer: 58.2677 |
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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: 32 |
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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: 2 |
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- training_steps: 10 |
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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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| 1.8373 | 0.0625 | 1 | 1.6351 | 93.3071 | |
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| 1.7614 | 0.125 | 2 | 1.5526 | 90.9449 | |
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| 1.5333 | 0.1875 | 3 | 1.4336 | 59.4488 | |
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| 1.5874 | 0.25 | 4 | 1.3667 | 59.4488 | |
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| 1.4808 | 0.3125 | 5 | 1.3238 | 58.2677 | |
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| 1.5046 | 0.375 | 6 | 1.2933 | 56.6929 | |
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| 1.3783 | 0.4375 | 7 | 1.2704 | 57.4803 | |
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| 1.3692 | 0.5 | 8 | 1.2536 | 57.0866 | |
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| 1.3708 | 0.5625 | 9 | 1.2426 | 57.0866 | |
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| 1.3299 | 0.625 | 10 | 1.2371 | 58.2677 | |
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### Framework versions |
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- Transformers 4.46.3 |
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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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