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In adapter_config.json: "peft.task_type" must be a string
whisper-small-ta-peft-lora
This model is a fine-tuned version of yaygomii/whisper-small-ta-fyp on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4112
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4209 | 1.0 | 2071 | 0.4601 |
| 0.3115 | 2.0 | 4142 | 0.4250 |
| 0.1642 | 3.0 | 6213 | 0.4112 |
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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