whisper-small-ablation-0-1
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: 0.1346
- Wer: 6.6883
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1747 | 1.3004 | 500 | 0.1894 | 10.2922 |
| 0.079 | 2.6008 | 1000 | 0.1346 | 6.6883 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.6.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0