graph-classification
This model is a fine-tuned version of clefourrier/graphormer-base-pcqm4mv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2803
Model description
More information needed
Intended uses & limitations
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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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|
| 0.477 | 1.0 | 515 | 0.3156 |
| 0.401 | 2.0 | 1030 | 0.2614 |
| 0.351 | 3.0 | 1545 | 0.2803 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for yzhuang/graph-classification
Base model
clefourrier/graphormer-base-pcqm4mv2