Update README.md
Browse files
README.md
CHANGED
|
@@ -27,11 +27,15 @@ It achieves the following results on the evaluation set:
|
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
| 30 |
-
|
| 31 |
|
| 32 |
## Intended uses & limitations
|
| 33 |
|
| 34 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
|
| 36 |
## Training and evaluation data
|
| 37 |
|
|
@@ -39,6 +43,7 @@ More information needed
|
|
| 39 |
|
| 40 |
## Training procedure
|
| 41 |
|
|
|
|
| 42 |
### Training hyperparameters
|
| 43 |
|
| 44 |
The following hyperparameters were used during training:
|
|
|
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
| 30 |
+
This model is designed to perform NER function for specific text using BioLink BERT
|
| 31 |
|
| 32 |
## Intended uses & limitations
|
| 33 |
|
| 34 |
+
The goal was to have a drug tag printed immediately for a particular sentence, but it has the disadvantage of being marked as LABEL
|
| 35 |
+
|
| 36 |
+
LABEL0 : irrelevant text
|
| 37 |
+
LABEL1,2 : Drug
|
| 38 |
+
LABEL3,4 : condition
|
| 39 |
|
| 40 |
## Training and evaluation data
|
| 41 |
|
|
|
|
| 43 |
|
| 44 |
## Training procedure
|
| 45 |
|
| 46 |
+
Reference Code: SciBERT Fine-Tuning on Drug/ADE Corpus (https://github.com/jsylee/personal-projects/blob/master/Hugging%20Face%20ADR%20Fine-Tuning/SciBERT%20ADR%20Fine-Tuning.ipynb)
|
| 47 |
### Training hyperparameters
|
| 48 |
|
| 49 |
The following hyperparameters were used during training:
|