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-15-epochs
results: []
defect-classification-llama-baseline-15-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: 0.1984
- Accuracy: 0.9311
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8391 | 1.0 | 1062 | 0.8638 | 0.8010 |
| 0.5603 | 2.0 | 2124 | 0.5259 | 0.8492 |
| 0.4341 | 3.0 | 3186 | 0.4449 | 0.8659 |
| 0.3805 | 4.0 | 4248 | 0.4048 | 0.8587 |
| 0.3143 | 5.0 | 5310 | 0.3020 | 0.8974 |
| 0.2891 | 6.0 | 6372 | 0.2881 | 0.9011 |
| 0.2728 | 7.0 | 7434 | 0.2790 | 0.9036 |
| 0.305 | 8.0 | 8496 | 0.2568 | 0.9114 |
| 0.2382 | 9.0 | 9558 | 0.2377 | 0.9179 |
| 0.2258 | 10.0 | 10620 | 0.2202 | 0.9229 |
| 0.2202 | 11.0 | 11682 | 0.2180 | 0.9248 |
| 0.2153 | 12.0 | 12744 | 0.2249 | 0.9234 |
| 0.2026 | 13.0 | 13806 | 0.2039 | 0.9294 |
| 0.1972 | 14.0 | 14868 | 0.2009 | 0.9293 |
| 0.1987 | 15.0 | 15930 | 0.1984 | 0.9311 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0