defect-classification-llama-baseline
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5158
- Accuracy: 0.8771
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: 2e-05
- train_batch_size: 1536
- eval_batch_size: 1536
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9862 | 1.0 | 354 | 0.9728 | 0.8252 |
| 0.7586 | 2.0 | 708 | 0.7283 | 0.8619 |
| 0.627 | 3.0 | 1062 | 0.6342 | 0.8774 |
| 0.5619 | 4.0 | 1416 | 0.5441 | 0.8701 |
| 0.5191 | 5.0 | 1770 | 0.5158 | 0.8771 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Model tree for ppak10/defect-classification-llama-baseline-unfrozen
Base model
meta-llama/Llama-3.2-1B