---
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-20-epochs-MAIL-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# defect-classification-llama-baseline-20-epochs-MAIL-10

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2900
- Accuracy: 0.9038

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4632        | 1.0   | 354  | 1.3609          | 0.7587   |
| 0.9761        | 2.0   | 708  | 0.9344          | 0.7947   |
| 0.8105        | 3.0   | 1062 | 0.7649          | 0.8222   |
| 0.6766        | 4.0   | 1416 | 0.6937          | 0.8392   |
| 0.5973        | 5.0   | 1770 | 0.5825          | 0.8467   |
| 0.5265        | 6.0   | 2124 | 0.5075          | 0.8545   |
| 0.4848        | 7.0   | 2478 | 0.4811          | 0.8639   |
| 0.4463        | 8.0   | 2832 | 0.4465          | 0.8620   |
| 0.4195        | 9.0   | 3186 | 0.4131          | 0.8724   |
| 0.3934        | 10.0  | 3540 | 0.4131          | 0.8752   |
| 0.3712        | 11.0  | 3894 | 0.3667          | 0.8830   |
| 0.3549        | 12.0  | 4248 | 0.3582          | 0.8882   |
| 0.341         | 13.0  | 4602 | 0.3344          | 0.8925   |
| 0.3274        | 14.0  | 4956 | 0.3270          | 0.8930   |
| 0.319         | 15.0  | 5310 | 0.3154          | 0.8961   |
| 0.306         | 16.0  | 5664 | 0.3068          | 0.8986   |
| 0.3054        | 17.0  | 6018 | 0.3027          | 0.9000   |
| 0.2947        | 18.0  | 6372 | 0.2974          | 0.9011   |
| 0.293         | 19.0  | 6726 | 0.2925          | 0.9030   |
| 0.2952        | 20.0  | 7080 | 0.2900          | 0.9038   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0