---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: TWON-Agent-OSN-debug
  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. -->

# TWON-Agent-OSN-debug

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8582

## 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: 4
- eval_batch_size: 8
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4066        | 1.0   | 5    | 3.2770          |
| 3.2678        | 2.0   | 10   | 3.1435          |
| 3.1418        | 3.0   | 15   | 3.0416          |
| 3.0482        | 4.0   | 20   | 2.9683          |
| 2.9771        | 5.0   | 25   | 2.9152          |
| 2.9285        | 6.0   | 30   | 2.8812          |
| 2.8971        | 7.0   | 35   | 2.8638          |
| 2.884         | 8.0   | 40   | 2.8582          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0