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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:
- 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
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