---
license: other
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama3.1-full-girlfriend-v2
  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. -->

# llama3.1-full-girlfriend-v2

This model is a fine-tuned version of [/home/llama/zxl_2024/model/Meta-Llama-3.1-8B-Instruct](https://huggingface.co//home/llama/zxl_2024/model/Meta-Llama-3.1-8B-Instruct) on the output_girl_all dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0679

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.06
- lr_scheduler_warmup_steps: 20
- num_epochs: 6.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6434        | 5.7143 | 200  | 1.0674          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1