Regression on MoleculeNet Delaney (test)
0.858RMSEChemBERTa-2
Evaluation Results
| Method | Links | |
|---|---|---|
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=10M, Evaluation Protocol=Fine-tuned2022.09 | 0.858 | |
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=5M, Evaluation Protocol=Fine-tuned2022.09 | 0.874 | |
| GCNEvaluation Protocol=Fine-tuned2022.09 | 0.8851 | |
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=77M, Evaluation Protocol=Fine-tuned2022.09 | 0.889 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=5M, Evaluation Protocol=Fine-tuned2022.09 | 0.946 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=10M, Evaluation Protocol=Fine-tuned2022.09 | 0.961 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=77M, Evaluation Protocol=Fine-tuned2022.09 | 1.025 | |
| D-MPNNEvaluation Protocol=Fine-tuned2022.09 | 1.105 | |
| RFEvaluation Protocol=Fine-tuned2022.09 | 1.7406 |