whisper-medium-nya
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8813
- Wer: 37.8500
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.1179 | 0.25 | 500 | 1.8786 | 126.6155 |
| 0.5971 | 0.49 | 1000 | 1.2148 | 57.5546 |
| 0.4307 | 0.74 | 1500 | 1.0730 | 44.9380 |
| 0.3661 | 0.99 | 2000 | 0.9695 | 41.0278 |
| 0.299 | 1.23 | 2500 | 0.9517 | 38.9014 |
| 0.2619 | 1.48 | 3000 | 0.9244 | 36.2197 |
| 0.2476 | 1.72 | 3500 | 0.8762 | 41.6657 |
| 0.2262 | 1.97 | 4000 | 0.8813 | 37.8500 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2