---
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-1_60-samples_config-2_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-31-8B_task-1_60-samples_config-2_full

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: 0.9806

## 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: 0.0001
- 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 2.5391        | 0.6957  | 2    | 2.3916          |
| 2.4703        | 1.7391  | 5    | 2.2074          |
| 2.1328        | 2.7826  | 8    | 1.9537          |
| 1.9709        | 3.8261  | 11   | 1.6769          |
| 1.5704        | 4.8696  | 14   | 1.3962          |
| 1.3765        | 5.9130  | 17   | 1.1358          |
| 1.0594        | 6.9565  | 20   | 1.0275          |
| 0.9969        | 8.0     | 23   | 0.9877          |
| 0.9485        | 8.6957  | 25   | 0.9700          |
| 0.8932        | 9.7391  | 28   | 0.9503          |
| 0.8815        | 10.7826 | 31   | 0.9331          |
| 0.8229        | 11.8261 | 34   | 0.9216          |
| 0.8136        | 12.8696 | 37   | 0.9111          |
| 0.7507        | 13.9130 | 40   | 0.9021          |
| 0.7373        | 14.9565 | 43   | 0.8982          |
| 0.6959        | 16.0    | 46   | 0.9020          |
| 0.6651        | 16.6957 | 48   | 0.9060          |
| 0.6589        | 17.7391 | 51   | 0.9119          |
| 0.5782        | 18.7826 | 54   | 0.9264          |
| 0.585         | 19.8261 | 57   | 0.9372          |
| 0.511         | 20.8696 | 60   | 0.9604          |
| 0.4767        | 21.9130 | 63   | 0.9806          |


### Framework versions

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