Regression on MoleculeNet Clearance (test)
48.515RMSEChemBERTa-2
Evaluation Results
| Method | Links | |
|---|---|---|
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=77M, Evaluation Protocol=Fine-tuned2022.09 | 48.515 | |
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=10M, Evaluation Protocol=Fine-tuned2022.09 | 48.934 | |
| D-MPNNEvaluation Protocol=Fine-tuned2022.09 | 49.754 | |
| ChemBERTa-2Pre-training Task=MTR, Pre-training Dataset Size=5M, Evaluation Protocol=Fine-tuned2022.09 | 50.154 | |
| GCNEvaluation Protocol=Fine-tuned2022.09 | 51.2271 | |
| RFEvaluation Protocol=Fine-tuned2022.09 | 52.077 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=77M, Evaluation Protocol=Fine-tuned2022.09 | 52.754 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=10M, Evaluation Protocol=Fine-tuned2022.09 | 53.859 | |
| ChemBERTa-2Pre-training Task=MLM, Pre-training Dataset Size=5M, Evaluation Protocol=Fine-tuned2022.09 | 54.601 |