Whisper Small ATC - ATCText
This model is a fine-tuned version of openai/whisper-small on the ATC dataset. It achieves the following results on the evaluation set:
- Loss: 0.2486
- Wer: 10.6129
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2533 | 0.42 | 1000 | 0.3465 | 16.2868 |
| 0.235 | 0.84 | 2000 | 0.2881 | 13.5237 |
| 0.0851 | 1.27 | 3000 | 0.2607 | 10.6048 |
| 0.1317 | 1.69 | 4000 | 0.2486 | 10.6129 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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