---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- generated_from_trainer
model-index:
- name: flippa-v6
  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. -->

# flippa-v6

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: 1.5640

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9009        | 1.0   | 500  | 1.9374          |
| 1.6797        | 2.0   | 1000 | 1.7561          |
| 1.5561        | 3.0   | 1500 | 1.6929          |
| 1.5276        | 4.0   | 2000 | 1.6550          |
| 1.5116        | 5.0   | 2500 | 1.6310          |
| 1.465         | 6.0   | 3000 | 1.6144          |
| 1.4707        | 7.0   | 3500 | 1.6029          |
| 1.4412        | 8.0   | 4000 | 1.5939          |
| 1.4494        | 9.0   | 4500 | 1.5857          |
| 1.4433        | 10.0  | 5000 | 1.5791          |
| 1.4348        | 11.0  | 5500 | 1.5734          |
| 1.4185        | 12.0  | 6000 | 1.5696          |
| 1.404         | 13.0  | 6500 | 1.5665          |
| 1.4087        | 14.0  | 7000 | 1.5648          |
| 1.4268        | 15.0  | 7500 | 1.5640          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1