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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: graphormer-ogbg-molhiv |
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results: [] |
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--- |
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# graphormer-ogbg-molhiv |
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This model was trained from `clefourrier/pcqm4mv2_graphormer_base` on the `OGB/ogbg-molhiv` dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.0728 |
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- eval_runtime: 464.6027 |
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- eval_samples_per_second: 8.853 |
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- eval_steps_per_second: 0.555 |
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- step: 0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 512 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 5120 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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