---
library_name: peft
tags:
- generated_from_trainer
base_model: liuhaotian/llava-v1.5-13b
model-index:
- name: llava_13b_country
  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. -->

# llava_13b_country

This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co./liuhaotian/llava-v1.5-13b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6820

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8996        | 1.0   | 9    | 1.0150          |
| 0.2338        | 2.0   | 18   | 1.1114          |
| 0.0743        | 3.0   | 27   | 1.1836          |
| 0.0278        | 4.0   | 36   | 1.4034          |
| 0.0122        | 5.0   | 45   | 1.4664          |
| 0.0129        | 6.0   | 54   | 1.4691          |
| 0.0062        | 7.0   | 63   | 1.4761          |
| 0.0026        | 8.0   | 72   | 1.4731          |
| 0.0018        | 9.0   | 81   | 1.6151          |
| 0.0012        | 10.0  | 90   | 1.6820          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Tokenizers 0.15.1