Whisper Small Ga 4000 - Callum Canavan
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3939
- Wer Ortho: 65.7126
- Wer: 64.3228
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0174 | 7.58 | 500 | 1.1656 | 63.4346 | 60.4899 |
| 0.0009 | 15.15 | 1000 | 1.2670 | 62.3248 | 60.8069 |
| 0.0004 | 22.73 | 1500 | 1.3114 | 63.6974 | 62.2478 |
| 0.0002 | 30.3 | 2000 | 1.3408 | 64.0187 | 62.6225 |
| 0.0002 | 37.88 | 2500 | 1.3621 | 64.3692 | 63.0836 |
| 0.0001 | 45.45 | 3000 | 1.3791 | 64.3984 | 62.9971 |
| 0.0001 | 53.03 | 3500 | 1.3900 | 65.8294 | 64.4092 |
| 0.0001 | 60.61 | 4000 | 1.3939 | 65.7126 | 64.3228 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 2