Whisper Small Tr - Huseyin Ates
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2347
- Wer: 20.4616
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: 16
- 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 |
|---|---|---|---|---|
| 0.2284 | 0.3447 | 1000 | 0.2800 | 23.8695 |
| 0.1868 | 0.6894 | 2000 | 0.2569 | 22.2992 |
| 0.0948 | 1.0341 | 3000 | 0.2410 | 20.9929 |
| 0.0865 | 1.3788 | 4000 | 0.2347 | 20.4616 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
openai/whisper-small