---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-2_180-samples_config-3
  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. -->

# Llama-31-8B_task-2_180-samples_config-3

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: 0.8289

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0365        | 1.0   | 17   | 1.1316          |
| 1.1746        | 2.0   | 34   | 1.1196          |
| 1.0933        | 3.0   | 51   | 1.0957          |
| 0.985         | 4.0   | 68   | 1.0540          |
| 0.9741        | 5.0   | 85   | 0.9950          |
| 1.0008        | 6.0   | 102  | 0.9377          |
| 0.8935        | 7.0   | 119  | 0.8939          |
| 0.8862        | 8.0   | 136  | 0.8579          |
| 0.8266        | 9.0   | 153  | 0.8294          |
| 0.7797        | 10.0  | 170  | 0.8075          |
| 0.8158        | 11.0  | 187  | 0.7903          |
| 0.6845        | 12.0  | 204  | 0.7742          |
| 0.6819        | 13.0  | 221  | 0.7598          |
| 0.7241        | 14.0  | 238  | 0.7472          |
| 0.695         | 15.0  | 255  | 0.7365          |
| 0.6982        | 16.0  | 272  | 0.7272          |
| 0.622         | 17.0  | 289  | 0.7215          |
| 0.5905        | 18.0  | 306  | 0.7156          |
| 0.6121        | 19.0  | 323  | 0.7140          |
| 0.567         | 20.0  | 340  | 0.7166          |
| 0.5471        | 21.0  | 357  | 0.7172          |
| 0.4761        | 22.0  | 374  | 0.7234          |
| 0.4967        | 23.0  | 391  | 0.7358          |
| 0.4833        | 24.0  | 408  | 0.7644          |
| 0.4071        | 25.0  | 425  | 0.8012          |
| 0.3567        | 26.0  | 442  | 0.8289          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1