---
library_name: peft
license: llama3.1
base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: SFT-unsloth-mrd3-Llama-3-8B-Instruct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SFT-unsloth-mrd3-Llama-3-8B-Instruct

This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5939

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2461        | 0.2139 | 10   | 0.9010          |
| 0.8442        | 0.4278 | 20   | 0.7990          |
| 0.7786        | 0.6417 | 30   | 0.7539          |
| 0.7424        | 0.8556 | 40   | 0.7238          |
| 0.7116        | 1.0695 | 50   | 0.6946          |
| 0.6793        | 1.2834 | 60   | 0.6642          |
| 0.6488        | 1.4973 | 70   | 0.6347          |
| 0.6163        | 1.7112 | 80   | 0.6082          |
| 0.5921        | 1.9251 | 90   | 0.5939          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1