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--- |
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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/quz-bible-v2 |
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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 Genesis Cuzco Quechua Bible dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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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| 0.0 | 363.6364 | 500 | 0.0000 | |
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| 0.0 | 727.2727 | 1000 | 0.0000 | |
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| 0.0 | 1090.9091 | 1500 | 0.0000 | |
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| 0.0 | 1454.5455 | 2000 | 0.0000 | |
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| 0.0 | 1818.1818 | 2500 | 0.0000 | |
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| 0.0 | 2181.8182 | 3000 | 0.0000 | |
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| 0.0 | 2545.4545 | 3500 | 0.0000 | |
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| 0.0 | 2909.0909 | 4000 | 0.0000 | |
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| 0.0 | 3272.7273 | 4500 | 0.0000 | |
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| 0.0 | 3636.3636 | 5000 | 0.0000 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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