AngryBacteria
commited on
Commit
•
9ee0f8e
1
Parent(s):
eac5e5a
Update README.md
Browse files
README.md
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: GerMedBERT/medbert-512
|
4 |
tags:
|
5 |
-
-
|
6 |
metrics:
|
7 |
- precision
|
8 |
- recall
|
@@ -10,14 +10,16 @@ metrics:
|
|
10 |
model-index:
|
11 |
- name: GerMedBert_NORMTOP50_V02_BRONCO
|
12 |
results: []
|
|
|
|
|
|
|
|
|
13 |
---
|
14 |
|
15 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
-
should probably proofread and complete it, then remove this comment. -->
|
17 |
-
|
18 |
# GerMedBert_NORMTOP50_V02_BRONCO
|
19 |
|
20 |
-
This model is a fine-tuned version of [GerMedBERT/medbert-512](https://huggingface.co/GerMedBERT/medbert-512) on the
|
|
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Loss: 0.0166
|
23 |
- F1 Score: 0.8624
|
@@ -142,4 +144,4 @@ The following hyperparameters were used during training:
|
|
142 |
- Transformers 4.40.1
|
143 |
- Pytorch 2.3.0+cu121
|
144 |
- Datasets 2.19.0
|
145 |
-
- Tokenizers 0.19.1
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: GerMedBERT/medbert-512
|
4 |
tags:
|
5 |
+
- medical
|
6 |
metrics:
|
7 |
- precision
|
8 |
- recall
|
|
|
10 |
model-index:
|
11 |
- name: GerMedBert_NORMTOP50_V02_BRONCO
|
12 |
results: []
|
13 |
+
datasets:
|
14 |
+
- bigbio/bronco
|
15 |
+
language:
|
16 |
+
- de
|
17 |
---
|
18 |
|
|
|
|
|
|
|
19 |
# GerMedBert_NORMTOP50_V02_BRONCO
|
20 |
|
21 |
+
This model is a fine-tuned version of [GerMedBERT/medbert-512](https://huggingface.co/GerMedBERT/medbert-512) on the BRONCO150 dataset. The task is to normalize
|
22 |
+
entities into the top50 codes from the ICD10GM, OPS and ATC catalogue.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
- Loss: 0.0166
|
25 |
- F1 Score: 0.8624
|
|
|
144 |
- Transformers 4.40.1
|
145 |
- Pytorch 2.3.0+cu121
|
146 |
- Datasets 2.19.0
|
147 |
+
- Tokenizers 0.19.1
|