whisper_small_tw7
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7222
- Wer: 6.2899
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: 16
- 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: 800
- training_steps: 2400
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4744 | 30.77 | 400 | 3.5037 | 3.7269 |
| 0.0091 | 61.54 | 800 | 3.5131 | 8.7773 |
| 0.0002 | 92.31 | 1200 | 3.6276 | 6.3277 |
| 0.0001 | 123.08 | 1600 | 3.6844 | 6.2941 |
| 0.0001 | 153.85 | 2000 | 3.7112 | 5.9622 |
| 0.0001 | 184.62 | 2400 | 3.7222 | 6.2899 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
openai/whisper-small