---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: liuhaotian/llava-v1.6-mistral-7b
model-index:
- name: LLaVA-Mistral-finetuned
  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-Mistral-finetuned

This model is a fine-tuned version of [liuhaotian/llava-v1.6-mistral-7b](https://huggingface.co./liuhaotian/llava-v1.6-mistral-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6291

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7239        | 0.0   | 10   | 0.6832          |
| 0.7502        | 0.01  | 20   | 0.6291          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2