openai/whisper-medium
This model is a fine-tuned version of openai/whisper-medium on the pphuc25/VietMed-split-8-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6099
- Wer: 20.7322
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6662 | 1.0 | 569 | 0.6506 | 27.2414 |
| 0.3697 | 2.0 | 1138 | 0.5478 | 25.8796 |
| 0.1755 | 3.0 | 1707 | 0.5531 | 21.2008 |
| 0.0278 | 4.0 | 2276 | 0.6099 | 20.7322 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1