whisper-tiny-ft-speech-commands-2cat
This model is a fine-tuned version of openai/whisper-tiny on the Speech Commands dataset. It achieves the following results on the evaluation set:
- Loss: 0.1086
- Accuracy: 0.9837
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0003 | 1.0 | 3028 | 0.1462 | 0.9599 |
| 0.0001 | 2.0 | 6056 | 0.2040 | 0.9687 |
| 0.6372 | 3.0 | 9084 | 0.1300 | 0.9762 |
| 0.0 | 4.0 | 12112 | 0.1210 | 0.9737 |
| 0.0 | 5.0 | 15140 | 0.1086 | 0.9837 |
Framework versions
- Transformers 4.57.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1