graph-classification

This model is a fine-tuned version of clefourrier/graphormer-base-pcqm4mv2 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: 5e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 1280
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.0
• Datasets 2.14.5
• Tokenizers 0.13.3