---
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
  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

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: 0.2404

## 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: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4565        | 0.05  | 100  | 0.4042          |
| 0.355         | 0.1   | 200  | 0.3224          |
| 0.3004        | 0.15  | 300  | 0.3054          |
| 0.2844        | 0.2   | 400  | 0.2904          |
| 0.2331        | 0.25  | 500  | 0.2829          |
| 0.241         | 0.3   | 600  | 0.2737          |
| 0.3013        | 0.35  | 700  | 0.2682          |
| 0.2619        | 0.4   | 800  | 0.2626          |
| 0.2367        | 0.45  | 900  | 0.2588          |
| 0.2152        | 0.5   | 1000 | 0.2563          |
| 0.2464        | 0.55  | 1100 | 0.2521          |
| 0.2443        | 0.6   | 1200 | 0.2491          |
| 0.2639        | 0.65  | 1300 | 0.2467          |
| 0.2602        | 0.7   | 1400 | 0.2447          |
| 0.291         | 0.75  | 1500 | 0.2434          |
| 0.2524        | 0.8   | 1600 | 0.2419          |
| 0.272         | 0.85  | 1700 | 0.2410          |
| 0.2273        | 0.9   | 1800 | 0.2406          |
| 0.2584        | 0.95  | 1900 | 0.2405          |
| 0.237         | 1.0   | 2000 | 0.2404          |


### Framework versions

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