---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
model-index:
- name: NL2linux
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NL2linux

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on  [garavv/NL2linux](https://huggingface.co/datasets/garavv/NL2linux) 
It achieves the following results on the evaluation set:
- Loss: 0.7192

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9742        | 0.2817 | 500  | 0.9460          |
| 0.8974        | 0.5634 | 1000 | 0.8695          |
| 0.8392        | 0.8451 | 1500 | 0.8290          |
| 0.7308        | 1.1268 | 2000 | 0.7992          |
| 0.7356        | 1.4085 | 2500 | 0.7761          |
| 0.7338        | 1.6901 | 3000 | 0.7566          |
| 0.705         | 1.9718 | 3500 | 0.7443          |
| 0.6469        | 2.2535 | 4000 | 0.7372          |
| 0.6197        | 2.5352 | 4500 | 0.7271          |
| 0.6438        | 2.8169 | 5000 | 0.7214          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.0