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

# Llama-3.2-1B-Instruct

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2812

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4538        | 0.1   | 100  | 0.4046          |
| 0.3315        | 0.2   | 200  | 0.3426          |
| 0.3151        | 0.3   | 300  | 0.3207          |
| 0.2916        | 0.4   | 400  | 0.3055          |
| 0.2663        | 0.5   | 500  | 0.2964          |
| 0.2718        | 0.6   | 600  | 0.2902          |
| 0.3185        | 0.7   | 700  | 0.2855          |
| 0.2546        | 0.8   | 800  | 0.2827          |
| 0.3406        | 0.9   | 900  | 0.2813          |
| 0.2892        | 1.0   | 1000 | 0.2812          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1