---
base_model: meta-llama/Llama-3.2-1B
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: Llama-3.2-1B_v2
  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_v2

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co./meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2671

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.452         | 0.1   | 100  | 0.3832          |
| 0.3539        | 0.2   | 200  | 0.3223          |
| 0.2994        | 0.3   | 300  | 0.3045          |
| 0.2855        | 0.4   | 400  | 0.2919          |
| 0.2334        | 0.5   | 500  | 0.2832          |
| 0.2435        | 0.6   | 600  | 0.2761          |
| 0.3055        | 0.7   | 700  | 0.2716          |
| 0.2668        | 0.8   | 800  | 0.2687          |
| 0.2443        | 0.9   | 900  | 0.2674          |
| 0.2245        | 1.0   | 1000 | 0.2671          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1