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

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

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 the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0075

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2921        | 0.0277 | 10   | 1.2173          |
| 1.126         | 0.0553 | 20   | 1.1010          |
| 1.0353        | 0.0830 | 30   | 1.0407          |
| 1.0177        | 0.1107 | 40   | 1.0200          |
| 0.9809        | 0.1383 | 50   | 1.0075          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1