Update README.md
Browse files
README.md
CHANGED
@@ -18,6 +18,15 @@ Label 1: Crystallizable (Positive)
|
|
18 |
4. [SP Test](https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/tree/main/Datasets/SP_Final_set)
|
19 |
5. [TR Test](https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/tree/main/Datasets/TR_Final_set)
|
20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
21 |
## Accuracy :
|
22 |
|
23 |
|
|
|
18 |
4. [SP Test](https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/tree/main/Datasets/SP_Final_set)
|
19 |
5. [TR Test](https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v1/tree/main/Datasets/TR_Final_set)
|
20 |
|
21 |
+
|
22 |
+
## Model
|
23 |
+
|
24 |
+
### ESMCrystal_t6_8M_v1
|
25 |
+
|
26 |
+
ESMCrystal_t6_8M_v1 is a state-of-the-art protein crystallization prediction model finetuned on [esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D),
|
27 |
+
having 6 layers and 8M parameters with the size of [approx. 31.4MB](https://huggingface.co/jaykmr/ESMCrystal_t6_8M_v2/blob/main/pytorch_model.bin)
|
28 |
+
using transfer learning to predict whether an input protein sequence will crystallize or not.
|
29 |
+
|
30 |
## Accuracy :
|
31 |
|
32 |
|