---
license: llama3.1
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3_8b_instruct_BWRM
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama3_8b_instruct_BWRM

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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2420

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7073        | 0.4600 | 50   | 0.5674          |
| 0.5127        | 0.9201 | 100  | 0.4938          |
| 0.4164        | 1.3801 | 150  | 0.3664          |
| 0.3712        | 1.8401 | 200  | 0.3447          |
| 0.3255        | 2.3002 | 250  | 0.3387          |
| 0.2926        | 2.7602 | 300  | 0.2809          |
| 0.2725        | 3.2202 | 350  | 0.2721          |
| 0.254         | 3.6803 | 400  | 0.2562          |
| 0.2421        | 4.1403 | 450  | 0.2460          |
| 0.228         | 4.6003 | 500  | 0.2420          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1