---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama3.1-8b-instruct-SFT-2024-09-04
  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. -->

# Llama3.1-8b-instruct-SFT-2024-09-04

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7816

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.4731        | 0.0586 | 1000  | 1.3818          |
| 1.3159        | 0.1171 | 2000  | 1.2533          |
| 1.2472        | 0.1757 | 3000  | 1.1814          |
| 1.2053        | 0.2342 | 4000  | 1.1296          |
| 1.165         | 0.2928 | 5000  | 1.0964          |
| 1.1603        | 0.3514 | 6000  | 1.0608          |
| 1.1854        | 0.4099 | 7000  | 1.0294          |
| 1.0564        | 0.4685 | 8000  | 1.0074          |
| 0.9583        | 0.5271 | 9000  | 0.9807          |
| 1.0542        | 0.5856 | 10000 | 0.9559          |
| 0.9881        | 0.6442 | 11000 | 0.9371          |
| 0.9607        | 0.7027 | 12000 | 0.9125          |
| 1.0272        | 0.7613 | 13000 | 0.8907          |
| 0.9374        | 0.8199 | 14000 | 0.8739          |
| 0.9506        | 0.8784 | 15000 | 0.8549          |
| 0.8963        | 0.9370 | 16000 | 0.8389          |
| 0.8529        | 0.9955 | 17000 | 0.8225          |
| 0.6032        | 1.0541 | 18000 | 0.8162          |
| 0.5758        | 1.1127 | 19000 | 0.8079          |
| 0.6367        | 1.1712 | 20000 | 0.7976          |
| 0.5814        | 1.2298 | 21000 | 0.7917          |
| 0.5761        | 1.2884 | 22000 | 0.7873          |
| 0.618         | 1.3469 | 23000 | 0.7840          |
| 0.5374        | 1.4055 | 24000 | 0.7826          |
| 0.6227        | 1.4640 | 25000 | 0.7816          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1