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PatriVaca/
graph-classification-molhiv-test

Name: graph-classification-molhiv-test
Rating: 2.5 (9 reviews)

safetensors

graphormer

generated_from_trainer

clefourrier/graphormer-base-pcqm4mv2

finetune

mit

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graph-classification-molhiv-test

This model is a fine-tuned version of clefourrier/pcqm4mv2_graphormer_base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1108

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1793	1.0	13	0.1181
0.0739	2.0	26	0.1084
0.0716	3.0	39	0.1108

Framework versions

Transformers 4.40.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1

PatriVaca/graph-classification-molhiv-test

graph-classification-molhiv-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

PatriVaca/
graph-classification-molhiv-test