temp1
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: 0.2595
- 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: 10
- eval_batch_size: 10
- 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 |
|---|---|---|---|---|
| 0.2081 | 1.2 | 30 | 0.2595 | 100.0 |
| 0.0803 | 2.4 | 60 | 0.2897 | 100.0 |
| 0.0421 | 3.6 | 90 | 0.3009 | 100.0 |
| 0.0207 | 4.8 | 120 | 0.3233 | 100.0 |
| 0.0091 | 6.0 | 150 | 0.3221 | 100.0 |
| 0.0043 | 7.2 | 180 | 0.3213 | 100.0 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.3