---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: LangGPT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# LangGPT

This model is a fine-tuned version of [/datas/huggingface/Meta-Llama-3-8B-Instruct](https://huggingface.co//datas/huggingface/Meta-Llama-3-8B-Instruct) on the LangGPT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7564

## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 9.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8441        | 1.25  | 100  | 0.8462          |
| 0.7829        | 2.5   | 200  | 0.7942          |
| 0.747         | 3.75  | 300  | 0.7737          |
| 0.7507        | 5.0   | 400  | 0.7637          |
| 0.7327        | 6.25  | 500  | 0.7590          |
| 0.7331        | 7.5   | 600  | 0.7569          |
| 0.7396        | 8.75  | 700  | 0.7564          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1