uncombined_audio
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3756
- Wer: 7.5695
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: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9424 | 0.16 | 20 | 0.7259 | 11.6499 |
| 0.6281 | 0.32 | 40 | 0.5324 | 9.5801 |
| 0.45 | 0.48 | 60 | 0.4571 | 9.4027 |
| 0.4442 | 0.64 | 80 | 0.4031 | 8.2791 |
| 0.3753 | 0.8 | 100 | 0.3756 | 7.5695 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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