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model
This model is a fine-tuned version of hts98/whisper-medium-1113 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3198
- Wer: 100.0
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1889 | 1.43 | 30 | 0.2595 | 100.0 |
| 0.067 | 2.86 | 60 | 0.2960 | 100.0 |
| 0.0319 | 4.29 | 90 | 0.3027 | 100.0 |
| 0.0171 | 5.71 | 120 | 0.3166 | 100.0 |
| 0.0067 | 7.14 | 150 | 0.3214 | 100.0 |
| 0.0028 | 8.57 | 180 | 0.3198 | 100.0 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.3
