metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: defect-classification-llama-baseline-05-epochs
results: []
defect-classification-llama-baseline-05-epochs
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: 0.3336
- Accuracy: 0.8916
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: 512
- eval_batch_size: 512
- 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 |
|---|---|---|---|---|
| 0.7664 | 1.0 | 1062 | 0.6945 | 0.8160 |
| 0.4911 | 2.0 | 2124 | 0.4764 | 0.8587 |
| 0.4172 | 3.0 | 3186 | 0.3906 | 0.8761 |
| 0.3563 | 4.0 | 4248 | 0.3557 | 0.8858 |
| 0.3379 | 5.0 | 5310 | 0.3336 | 0.8916 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0