---
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-2024-09-20_LoRAs_r256
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama3.1-8b-instruct-SFT-2024-09-20_LoRAs_r256

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: 0.8291

## 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: 1e-05
- train_batch_size: 6
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.4481        | 0.0793 | 1000  | 1.2518          |
| 1.2848        | 0.1586 | 2000  | 1.2200          |
| 1.2297        | 0.2380 | 3000  | 1.1614          |
| 1.1872        | 0.3173 | 4000  | 1.1351          |
| 1.152         | 0.3966 | 5000  | 1.1096          |
| 1.113         | 0.4759 | 6000  | 1.0702          |
| 1.0937        | 0.5552 | 7000  | 1.0237          |
| 1.0591        | 0.6346 | 8000  | 1.0028          |
| 1.0422        | 0.7139 | 9000  | 0.9935          |
| 1.0197        | 0.7932 | 10000 | 0.9761          |
| 0.9956        | 0.8725 | 11000 | 0.9550          |
| 0.9743        | 0.9519 | 12000 | 0.9363          |
| 0.9069        | 1.0312 | 13000 | 0.9297          |
| 0.8075        | 1.1105 | 14000 | 0.9187          |
| 0.8066        | 1.1898 | 15000 | 0.9032          |
| 0.7871        | 1.2691 | 16000 | 0.8891          |
| 0.7801        | 1.3485 | 17000 | 0.8747          |
| 0.7773        | 1.4278 | 18000 | 0.8291          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1