whisper-tiny.en-atco2-asr
This model is a fine-tuned version of openai/whisper-tiny.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1500
- Wer: 61.5214
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.3572 | 12.5 | 50 | 1.9974 | 100.8897 |
| 0.9286 | 25.0 | 100 | 1.5447 | 246.6637 |
| 0.5731 | 37.5 | 150 | 1.3265 | 233.9413 |
| 0.2702 | 50.0 | 200 | 1.2124 | 65.6584 |
| 0.1624 | 62.5 | 250 | 1.1642 | 62.5 |
| 0.0828 | 75.0 | 300 | 1.1518 | 71.1744 |
| 0.0596 | 87.5 | 350 | 1.1501 | 61.8772 |
| 0.0479 | 100.0 | 400 | 1.1500 | 61.5214 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0