Update README.md
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ tags:
|
|
| 14 |
|
| 15 |
|
| 16 |
|
| 17 |
-
ESM2-GBT: Gradient Boosted Trees on ESM2 Embeddings
|
| 18 |
|
| 19 |
# Model Overview
|
| 20 |
The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for binding affinity predictive tasks.
|
|
@@ -67,7 +67,7 @@ Training Details
|
|
| 67 |
|
| 68 |
• Binding affinity predictions
|
| 69 |
|
| 70 |
-
Limitations & Considerations
|
| 71 |
|
| 72 |
• The model is trained on ESM2 embeddings and is limited by the quality of those embeddings.
|
| 73 |
|
|
|
|
| 14 |
|
| 15 |
|
| 16 |
|
| 17 |
+
## ESM2-GBT: Gradient Boosted Trees on ESM2 Embeddings
|
| 18 |
|
| 19 |
# Model Overview
|
| 20 |
The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for binding affinity predictive tasks.
|
|
|
|
| 67 |
|
| 68 |
• Binding affinity predictions
|
| 69 |
|
| 70 |
+
# Limitations & Considerations
|
| 71 |
|
| 72 |
• The model is trained on ESM2 embeddings and is limited by the quality of those embeddings.
|
| 73 |
|