---
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: []
---

<!-- 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-15-epochs

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: 0.1984
- 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