---
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: 0.1856

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8017        | 0.2585 | 10   | 0.8807          |
| 0.5653        | 0.5170 | 20   | 0.3488          |
| 0.3026        | 0.7754 | 30   | 0.2705          |
| 0.255         | 1.0339 | 40   | 0.2418          |
| 0.2307        | 1.2924 | 50   | 0.2223          |
| 0.2157        | 1.5509 | 60   | 0.2099          |
| 0.206         | 1.8094 | 70   | 0.2021          |
| 0.1978        | 2.0679 | 80   | 0.1962          |
| 0.1913        | 2.3263 | 90   | 0.1910          |
| 0.1882        | 2.5848 | 100  | 0.1877          |
| 0.1861        | 2.8433 | 110  | 0.1856          |


### Framework versions

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