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
