Update README.md
Browse files
README.md
CHANGED
@@ -33,15 +33,7 @@ This model is a fine-tuned version of [DeBERTa](https://huggingface.co/microsoft
|
|
33 |
|
34 |
Medical NER Model finetuned on BERT to recognize 41 Medical entities.
|
35 |
|
36 |
-
## Intended uses & limitations
|
37 |
|
38 |
-
More information needed
|
39 |
-
|
40 |
-
## Training and evaluation data
|
41 |
-
|
42 |
-
More information needed
|
43 |
-
|
44 |
-
## Training procedure
|
45 |
|
46 |
### Training hyperparameters
|
47 |
|
@@ -58,7 +50,7 @@ The following hyperparameters were used during training:
|
|
58 |
- num_epochs: 30
|
59 |
- mixed_precision_training: Native AMP
|
60 |
|
61 |
-
|
62 |
|
63 |
## Usage
|
64 |
The easiest way is to load the inference api from huggingface and second method is through the pipeline object offered by transformers library.
|
|
|
33 |
|
34 |
Medical NER Model finetuned on BERT to recognize 41 Medical entities.
|
35 |
|
|
|
36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
37 |
|
38 |
### Training hyperparameters
|
39 |
|
|
|
50 |
- num_epochs: 30
|
51 |
- mixed_precision_training: Native AMP
|
52 |
|
53 |
+
|
54 |
|
55 |
## Usage
|
56 |
The easiest way is to load the inference api from huggingface and second method is through the pipeline object offered by transformers library.
|