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Whisper Large v3 Ar-luis.s
This model is a fine-tuned version of openai/whisper-large-v3 on the SADA 2022 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6510
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4047 | 1.0 | 105 | 0.6539 |
| 0.5493 | 2.0 | 210 | 0.6151 |
| 0.1803 | 3.0 | 315 | 0.6510 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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