---
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_60-samples_config-2_full_auto
  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-2_60-samples_config-2_full_auto

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: 1.0466

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.5031        | 0.6957  | 2    | 1.5181          |
| 1.4986        | 1.7391  | 5    | 1.4719          |
| 1.4173        | 2.7826  | 8    | 1.3915          |
| 1.3451        | 3.8261  | 11   | 1.3186          |
| 1.2588        | 4.8696  | 14   | 1.2547          |
| 1.2035        | 5.9130  | 17   | 1.1920          |
| 1.1045        | 6.9565  | 20   | 1.1348          |
| 1.074         | 8.0     | 23   | 1.0886          |
| 1.0261        | 8.6957  | 25   | 1.0743          |
| 0.9858        | 9.7391  | 28   | 1.0616          |
| 0.9944        | 10.7826 | 31   | 1.0531          |
| 0.9706        | 11.8261 | 34   | 1.0463          |
| 0.9367        | 12.8696 | 37   | 1.0399          |
| 0.9372        | 13.9130 | 40   | 1.0353          |
| 0.9054        | 14.9565 | 43   | 1.0335          |
| 0.9095        | 16.0    | 46   | 1.0299          |
| 0.8691        | 16.6957 | 48   | 1.0291          |
| 0.8796        | 17.7391 | 51   | 1.0303          |
| 0.865         | 18.7826 | 54   | 1.0309          |
| 0.8473        | 19.8261 | 57   | 1.0353          |
| 0.8304        | 20.8696 | 60   | 1.0361          |
| 0.8259        | 21.9130 | 63   | 1.0386          |
| 0.8022        | 22.9565 | 66   | 1.0422          |
| 0.7948        | 24.0    | 69   | 1.0466          |


### Framework versions

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