---
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-3_60-samples_config-4
  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-3_60-samples_config-4

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: 0.4797

## 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: 16
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 2.4485        | 0.6957  | 2    | 2.4786          |
| 2.4413        | 1.7391  | 5    | 2.4667          |
| 2.6263        | 2.7826  | 8    | 2.4443          |
| 2.1438        | 3.8261  | 11   | 2.4112          |
| 2.3995        | 4.8696  | 14   | 2.3654          |
| 2.2475        | 5.9130  | 17   | 2.3021          |
| 2.2194        | 6.9565  | 20   | 2.2092          |
| 2.2976        | 8.0     | 23   | 2.0988          |
| 2.0386        | 8.6957  | 25   | 2.0090          |
| 1.8757        | 9.7391  | 28   | 1.8478          |
| 1.753         | 10.7826 | 31   | 1.6617          |
| 1.5394        | 11.8261 | 34   | 1.4736          |
| 1.4055        | 12.8696 | 37   | 1.2968          |
| 1.1544        | 13.9130 | 40   | 1.1374          |
| 1.0965        | 14.9565 | 43   | 0.9952          |
| 0.8824        | 16.0    | 46   | 0.8632          |
| 0.8412        | 16.6957 | 48   | 0.7849          |
| 0.7232        | 17.7391 | 51   | 0.7002          |
| 0.6275        | 18.7826 | 54   | 0.6459          |
| 0.6078        | 19.8261 | 57   | 0.6102          |
| 0.5477        | 20.8696 | 60   | 0.5828          |
| 0.4369        | 21.9130 | 63   | 0.5587          |
| 0.5025        | 22.9565 | 66   | 0.5396          |
| 0.5043        | 24.0    | 69   | 0.5226          |
| 0.3742        | 24.6957 | 71   | 0.5101          |
| 0.449         | 25.7391 | 74   | 0.5003          |
| 0.3276        | 26.7826 | 77   | 0.4925          |
| 0.4754        | 27.8261 | 80   | 0.4932          |
| 0.3724        | 28.8696 | 83   | 0.4876          |
| 0.4679        | 29.9130 | 86   | 0.4861          |
| 0.3245        | 30.9565 | 89   | 0.4884          |
| 0.3613        | 32.0    | 92   | 0.4922          |
| 0.3511        | 32.6957 | 94   | 0.4899          |
| 0.5275        | 33.7391 | 97   | 0.4931          |
| 0.3403        | 34.7826 | 100  | 0.4883          |
| 0.4209        | 35.8261 | 103  | 0.4815          |
| 0.3543        | 36.8696 | 106  | 0.4805          |
| 0.4115        | 37.9130 | 109  | 0.4767          |
| 0.3902        | 38.9565 | 112  | 0.4794          |
| 0.3735        | 40.0    | 115  | 0.4776          |
| 0.3227        | 40.6957 | 117  | 0.4733          |
| 0.2983        | 41.7391 | 120  | 0.4797          |
| 0.4421        | 42.7826 | 123  | 0.4791          |
| 0.3819        | 43.8261 | 126  | 0.4739          |
| 0.2965        | 44.8696 | 129  | 0.4764          |
| 0.2661        | 45.9130 | 132  | 0.4765          |
| 0.3827        | 46.9565 | 135  | 0.4778          |
| 0.3144        | 48.0    | 138  | 0.4797          |


### Framework versions

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