---
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: LlaMa_3.1_8B
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LlaMa_3.1_8B

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6314

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0074        | 0.0440 | 100  | 0.8141          |
| 0.7582        | 0.0879 | 200  | 0.7417          |
| 0.7663        | 0.1319 | 300  | 0.7115          |
| 0.6939        | 0.1758 | 400  | 0.6899          |
| 0.6787        | 0.2198 | 500  | 0.6792          |
| 0.6553        | 0.2637 | 600  | 0.6664          |
| 0.6747        | 0.3077 | 700  | 0.6535          |
| 0.6614        | 0.3516 | 800  | 0.6404          |
| 0.6343        | 0.3956 | 900  | 0.6343          |
| 0.6264        | 0.4396 | 1000 | 0.6314          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1