---
license: llama3.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3.1_8b_bwgenerator
  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_bwgenerator

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: 0.1193

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2338        | 0.1456 | 20   | 0.3871          |
| 0.3226        | 0.2911 | 40   | 0.2794          |
| 0.2612        | 0.4367 | 60   | 0.2409          |
| 0.2238        | 0.5822 | 80   | 0.2055          |
| 0.1848        | 0.7278 | 100  | 0.1625          |
| 0.1505        | 0.8733 | 120  | 0.1424          |
| 0.1382        | 1.0189 | 140  | 0.1347          |
| 0.1319        | 1.1644 | 160  | 0.1311          |
| 0.1281        | 1.3100 | 180  | 0.1265          |
| 0.1248        | 1.4555 | 200  | 0.1237          |
| 0.1228        | 1.6011 | 220  | 0.1221          |
| 0.1205        | 1.7466 | 240  | 0.1200          |
| 0.1201        | 1.8922 | 260  | 0.1193          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1