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--- |
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library_name: transformers |
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language: |
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- es |
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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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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small 200 Sep 6 speedy es - Jessica Martinez |
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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 200 Sep 6 speedy es - Jessica Martinez |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the procesar-videos2024rdm200speedy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5645 |
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- Wer: 24.7788 |
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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: 16 |
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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: 200 |
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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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| 0.3473 | 4.1667 | 50 | 0.5393 | 26.8538 | |
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| 0.0903 | 8.3333 | 100 | 0.5190 | 29.6308 | |
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| 0.018 | 12.5 | 150 | 0.5598 | 24.8398 | |
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| 0.0082 | 16.6667 | 200 | 0.5645 | 24.7788 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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