fs-w-xavier-tiny-en
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: 0.4493
- Wer: 107.1700
- Cer: 86.3964
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 | Cer |
|---|---|---|---|---|---|
| 4.3581 | 4.5872 | 500 | 4.4334 | 98.1956 | 76.2625 |
| 1.7975 | 9.1743 | 1000 | 2.0190 | 106.9801 | 83.2016 |
| 0.7013 | 13.7615 | 1500 | 1.0136 | 109.8765 | 87.5816 |
| 0.4308 | 18.3486 | 2000 | 0.6682 | 107.5024 | 85.6235 |
| 0.3656 | 22.9358 | 2500 | 0.5726 | 107.5973 | 84.8677 |
| 0.3092 | 27.5229 | 3000 | 0.5117 | 106.7901 | 85.4775 |
| 0.2605 | 32.1101 | 3500 | 0.4788 | 104.1785 | 84.2580 |
| 0.236 | 36.6972 | 4000 | 0.4664 | 105.1757 | 84.8162 |
| 0.2298 | 41.2844 | 4500 | 0.4561 | 106.2678 | 85.5891 |
| 0.2007 | 45.8716 | 5000 | 0.4493 | 107.1700 | 86.3964 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
openai/whisper-tiny.en