---
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
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# 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: 0.1528

## 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2317        | 0.1246 | 20   | 0.3990          |
| 0.3324        | 0.2492 | 40   | 0.2884          |
| 0.2665        | 0.3738 | 60   | 0.2478          |
| 0.2326        | 0.4983 | 80   | 0.2174          |
| 0.2072        | 0.6229 | 100  | 0.1941          |
| 0.1818        | 0.7475 | 120  | 0.1687          |
| 0.1631        | 0.8721 | 140  | 0.1555          |
| 0.1543        | 0.9967 | 160  | 0.1528          |


### Framework versions

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