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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 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
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