metadata

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: []

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

This model is a fine-tuned version of 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:

Enhance museum visitor experiences through interactive exploration via image-based queries.
Aid researchers and curators in retrieving information from museum artifacts.
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