Whisper Small Quechua - ZLTech
This model is a fine-tuned version of openai/whisper-small on the Genesis Cuzco Quechua Bible dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0001 | 363.6364 | 500 | 0.0001 |
| 0.0 | 727.2727 | 1000 | 0.0000 |
| 0.0 | 1090.9091 | 1500 | 0.0000 |
| 0.0 | 1454.5455 | 2000 | 0.0000 |
| 0.0 | 1818.1818 | 2500 | 0.0000 |
| 0.0 | 2181.8182 | 3000 | 0.0000 |
| 0.0 | 2545.4545 | 3500 | 0.0000 |
| 0.0 | 2909.0909 | 4000 | 0.0000 |
| 0.0 | 3272.7273 | 4500 | 0.0000 |
| 0.0 | 3636.3636 | 5000 | 0.0000 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
openai/whisper-small