README.md

---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: llava-hf/llava-1.5-7b-hf
model-index:
- name: llava-1.5-7b-hf-ft-museum-updated
  results: []
---

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# llava-1.5-7b-hf-ft-museum-updated

This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on the The Metropolitan
Museum of Art(https://www.metmuseum.org/art/collection) dataset.

## Model description

This project designed to enrich museum experiences by enabling users to explore and comprehend museum artifacts through image-based queries.

## Intended uses & limitations
**Intended uses:**
1. Enhance museum visitor experiences through interactive exploration via image-based queries.
2. Aid researchers and curators in retrieving information from museum artifacts.
3. Democratize access to museum knowledge by catering to a broader audience.

**Limitation:**
The model is fine tuned on a subset of data from the Met's collection that pertains to Indian heritage. 

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1.4e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1