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graphormer-ogbg-molhiv
lnair/graphormer-ogbg-molhiv
graphormer-ogbg-molhiv is a machine learning model from lnair. 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.
This model was trained from clefourrier/pcqm4mv2graphormerbase on the OGB/ogbg-molhiv dataset. It achieves the following results on the evaluation set: - evalloss: 0.0728 - evalruntime: 464.6027 - evalsamplespersecond…
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At a glance
- Library
- transformers
- Model type
- graphormer
- Access
- Public
- Created
- Jun 30, 2023
- Updated
- Jun 30, 2023
- SHA
- 336b7281
Model card
From the Hugging Face model README
graphormer-ogbg-molhiv
This model was trained from clefourrier/pcqm4mv2_graphormer_base on the OGB/ogbg-molhiv dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0728
- eval_runtime: 464.6027
- eval_samples_per_second: 8.853
- eval_steps_per_second: 0.555
- step: 0
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: 0.0002
- train_batch_size: 512
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 5120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- graphormer
- Created
- Jun 30, 2023
- Updated
- Jun 30, 2023