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language: |
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- qu |
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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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- pollitoconpapass/quechua-cuzco-bible-audio-dataset |
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model-index: |
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- name: Whisper Small |
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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 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quechua Bible dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0002 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0765 | 12.5 | 500 | 0.0630 | |
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| 0.0413 | 25.0 | 1000 | 0.0294 | |
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| 0.0173 | 37.5 | 1500 | 0.0191 | |
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| 0.0161 | 50.0 | 2000 | 0.0116 | |
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| 0.0078 | 62.5 | 2500 | 0.0046 | |
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| 0.0071 | 75.0 | 3000 | 0.0039 | |
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| 0.0019 | 87.5 | 3500 | 0.0015 | |
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| 0.001 | 100.0 | 4000 | 0.0002 | |
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| 0.0007 | 112.5 | 4500 | 0.0002 | |
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| 0.0 | 125.0 | 5000 | 0.0002 | |
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### Framework versions |
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- Transformers 4.39.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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