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pretrained_graphormer_vg_spatial_image_graphs
helena-balabin/pretrained_graphormer_vg_spatial_image_graphs
pretrained_graphormer_vg_spatial_image_graphs is a machine learning model from helena-balabin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- graphormer
- Access
- Public
- Created
- Sep 17, 2025
- Updated
- Sep 17, 2025
- SHA
- 6f6159a2
Model card
From the Hugging Face model README
<!-- 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. -->
pretrained_graphormer_vg_spatial_image_graphs
This model is a fine-tuned version of on an unknown dataset.
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Framework versions
- Transformers 4.45.2
- Pytorch 2.7.0+cu126
- Datasets 3.0.2
- Tokenizers 0.20.1
- Library
- transformers
- Type
- graphormer
- Created
- Sep 17, 2025
- Updated
- Sep 17, 2025