whisper-small-fon-v1
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: 1.2478
- Wer: 67.2066
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.2991 | 1.0 | 1847 | 1.6141 | 96.3487 |
| 1.0427 | 2.0 | 3694 | 1.2899 | 72.8601 |
| 0.4691 | 3.0 | 5541 | 1.2478 | 67.2066 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 4
Model tree for amaniopia/whisper-small-fon-v1
Base model
openai/whisper-small