---
base_model: meta-llama/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama3.2-1B-SETBOX
  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. -->

# Llama3.2-1B-SETBOX

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7350

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3077        | 10.0  | 10   | 3.5028          |
| 0.1409        | 20.0  | 20   | 3.2245          |
| 0.0007        | 30.0  | 30   | 3.3852          |
| 0.0001        | 40.0  | 40   | 3.9938          |
| 0.0           | 50.0  | 50   | 4.4237          |
| 0.0           | 60.0  | 60   | 4.6380          |
| 0.0           | 70.0  | 70   | 4.7116          |
| 0.0           | 80.0  | 80   | 4.7325          |
| 0.0           | 90.0  | 90   | 4.7363          |
| 0.0           | 100.0 | 100  | 4.7350          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.14.4
- Tokenizers 0.19.1