---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: finetune
  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. -->

# finetune

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: 0.3303

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0733        | 0.2   | 5    | 0.8342          |
| 0.5412        | 0.4   | 10   | 0.5452          |
| 0.482         | 0.6   | 15   | 0.4806          |
| 0.372         | 0.8   | 20   | 0.4173          |
| 0.3336        | 1.0   | 25   | 0.3932          |
| 0.3449        | 1.2   | 30   | 0.3777          |
| 0.3247        | 1.4   | 35   | 0.3705          |
| 0.3711        | 1.6   | 40   | 0.3568          |
| 0.2638        | 1.8   | 45   | 0.3480          |
| 0.2707        | 2.0   | 50   | 0.3436          |
| 0.2652        | 2.2   | 55   | 0.3407          |
| 0.2703        | 2.4   | 60   | 0.3369          |
| 0.2841        | 2.6   | 65   | 0.3350          |
| 0.2334        | 2.8   | 70   | 0.3302          |
| 0.2854        | 3.0   | 75   | 0.3303          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1