whisper-small-fa-finetuned
This model is a fine-tuned version of amirsz8203/whisper-small-fa-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1823
- Wer: 24.1495
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7705 | 0.3883 | 200 | 0.1982 | 26.0178 |
| 0.7718 | 0.7767 | 400 | 0.1909 | 25.3243 |
| 0.5149 | 1.1650 | 600 | 0.1868 | 24.9082 |
| 0.5227 | 1.5534 | 800 | 0.1849 | 24.6227 |
| 0.5441 | 1.9417 | 1000 | 0.1824 | 24.2147 |
| 0.5012 | 2.0 | 1030 | 0.1823 | 24.1495 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.1
- Tokenizers 0.22.2