---
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_180-samples_config-2_full_auto
  results: []
---

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# Llama-31-8B_task-3_180-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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3360

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.674         | 0.9412  | 8    | 1.6584          |
| 1.5596        | 2.0     | 17   | 1.5302          |
| 1.4536        | 2.9412  | 25   | 1.4046          |
| 1.1955        | 4.0     | 34   | 1.2397          |
| 1.1221        | 4.9412  | 42   | 1.1855          |
| 1.1181        | 6.0     | 51   | 1.1592          |
| 1.1246        | 6.9412  | 59   | 1.1434          |
| 1.0507        | 8.0     | 68   | 1.1335          |
| 0.9763        | 8.9412  | 76   | 1.1265          |
| 0.9776        | 10.0    | 85   | 1.1260          |
| 0.929         | 10.9412 | 93   | 1.1289          |
| 0.8679        | 12.0    | 102  | 1.1548          |
| 0.8616        | 12.9412 | 110  | 1.1690          |
| 0.815         | 14.0    | 119  | 1.2061          |
| 0.6912        | 14.9412 | 127  | 1.2300          |
| 0.6046        | 16.0    | 136  | 1.2953          |
| 0.5919        | 16.9412 | 144  | 1.3360          |


### Framework versions

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