whisper-tiny-no-fo-100h-5k-steps_v2
This model is a fine-tuned version of NbAiLab/nb-whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5488
- Wer: 56.4778
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.08 | 0.2320 | 1000 | 1.0274 | 74.5369 |
| 0.7205 | 0.4640 | 2000 | 0.7131 | 63.4588 |
| 0.6264 | 0.6961 | 3000 | 0.6096 | 58.1286 |
| 0.624 | 0.9281 | 4000 | 0.5642 | 56.2462 |
| 0.5163 | 1.1601 | 5000 | 0.5488 | 56.4778 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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