---
base_model: unsloth/llama-3.2-1b-instruct-bnb-4bit
library_name: peft
license: llama3.2
tags:
- trl
- sft
- unsloth
- 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 [unsloth/llama-3.2-1b-instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-1b-instruct-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7877

## 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: 5
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.7636        | 0.1992 | 50   | 1.8301          |
| 1.6351        | 0.3984 | 100  | 1.8318          |
| 1.6559        | 0.5976 | 150  | 1.8157          |
| 1.6928        | 0.7968 | 200  | 1.7976          |
| 1.7535        | 0.9960 | 250  | 1.7877          |


### Framework versions

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