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test
This model is a fine-tuned version of openai/whisper-base on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.3509
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8079 | 0.1934 | 100 | 4.5002 |
| 4.2218 | 0.3868 | 200 | 3.8882 |
| 3.6218 | 0.5803 | 300 | 3.4967 |
| 3.437 | 0.7737 | 400 | 3.3850 |
| 3.3687 | 0.9671 | 500 | 3.3509 |
Framework versions
- PEFT 0.14.1.dev0
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.1.dev0
- Tokenizers 0.21.0
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Base model
openai/whisper-base