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whisper-medium-th-cv12
This model is a fine-tuned version of biodatlab/whisper-medium-th-combined-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3122
- Wer: 23.0133
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: 6.25e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- training_steps: 250
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8675 | 0.41 | 50 | 0.8984 | 28.2734 |
| 0.2598 | 0.82 | 100 | 0.3498 | 25.4960 |
| 0.1256 | 1.23 | 150 | 0.3226 | 24.8385 |
| 0.1198 | 1.64 | 200 | 0.3162 | 23.7955 |
| 0.1032 | 2.05 | 250 | 0.3122 | 23.0133 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
