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--- |
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library_name: transformers |
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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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- common_voice_22_0 |
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metrics: |
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- wer |
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model-index: |
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- name: openai/whisper-small |
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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_22_0 |
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type: common_voice_22_0 |
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config: eu |
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split: test |
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args: eu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 12.160220434106431 |
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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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# openai/whisper-small |
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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_22_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3891 |
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- Wer: 12.1602 |
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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: 3.75e-05 |
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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: Use OptimizerNames.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: 500 |
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- training_steps: 100000 |
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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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| 0.0113 | 10.8225 | 5000 | 0.2778 | 12.1163 | |
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| 0.0047 | 21.6450 | 10000 | 0.3096 | 11.8923 | |
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| 0.0059 | 32.4675 | 15000 | 0.3285 | 12.1856 | |
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| 0.0028 | 43.2900 | 20000 | 0.3573 | 11.6886 | |
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| 0.0015 | 54.1126 | 25000 | 0.3549 | 11.6117 | |
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| 0.0028 | 64.9351 | 30000 | 0.3610 | 11.9312 | |
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| 0.0013 | 75.7576 | 35000 | 0.3711 | 11.6683 | |
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| 0.0009 | 86.5801 | 40000 | 0.3756 | 11.6176 | |
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| 0.0008 | 97.4026 | 45000 | 0.3801 | 11.8213 | |
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| 0.0009 | 108.2251 | 50000 | 0.3891 | 12.1602 | |
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### Framework versions |
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- Transformers 4.52.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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