metadata

tags:
  - generated_from_trainer
model-index:
  - name: graphormer-ogbg-molhiv
    results: []

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