---
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-1_full_auto
  results: []
---

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# Llama-31-8B_task-2_60-samples_config-1_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: 1.1660

## 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: 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: 50

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.4989        | 0.8696  | 5    | 1.5039          |
| 1.4648        | 1.9130  | 11   | 1.4134          |
| 1.3625        | 2.9565  | 17   | 1.3141          |
| 1.2061        | 4.0     | 23   | 1.2032          |
| 1.078         | 4.8696  | 28   | 1.1121          |
| 0.9963        | 5.9130  | 34   | 1.0649          |
| 0.9285        | 6.9565  | 40   | 1.0479          |
| 0.9295        | 8.0     | 46   | 1.0360          |
| 0.9178        | 8.8696  | 51   | 1.0304          |
| 0.9031        | 9.9130  | 57   | 1.0313          |
| 0.8224        | 10.9565 | 63   | 1.0367          |
| 0.7715        | 12.0    | 69   | 1.0482          |
| 0.7775        | 12.8696 | 74   | 1.0640          |
| 0.6631        | 13.9130 | 80   | 1.1065          |
| 0.6127        | 14.9565 | 86   | 1.1382          |
| 0.6162        | 16.0    | 92   | 1.1660          |


### Framework versions

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