whisper-small-diff-wo-continuous-ls-diff-enc-fsc-v1
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3307
- Accuracy: 0.8927
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused 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: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| No log | 1.0 | 723 | 0.7747 | 0.6784 |
| 1.0473 | 2.0 | 1446 | 0.5216 | 0.8091 |
| 0.5465 | 3.0 | 2169 | 0.4062 | 0.8463 |
| 0.5465 | 4.0 | 2892 | 0.3687 | 0.8719 |
| 0.3193 | 5.0 | 3615 | 0.3307 | 0.8927 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 3.5.0
- Tokenizers 0.22.1
