Kenneth Enevoldsen
commited on
Commit
·
0dfe3fa
1
Parent(s):
5970ea0
docs: Updated readme
Browse files
README.md
CHANGED
|
@@ -4,7 +4,7 @@ tags:
|
|
| 4 |
- token-classification
|
| 5 |
language:
|
| 6 |
- da
|
| 7 |
-
license: apache-2.0
|
| 8 |
model-index:
|
| 9 |
- name: da_dacy_medium_trf
|
| 10 |
results:
|
|
@@ -14,40 +14,55 @@ model-index:
|
|
| 14 |
metrics:
|
| 15 |
- name: NER Precision
|
| 16 |
type: precision
|
| 17 |
-
value: 0.
|
| 18 |
- name: NER Recall
|
| 19 |
type: recall
|
| 20 |
-
value: 0.
|
| 21 |
- name: NER F Score
|
| 22 |
type: f_score
|
| 23 |
-
value: 0.
|
| 24 |
- task:
|
| 25 |
-
name:
|
| 26 |
type: token-classification
|
| 27 |
metrics:
|
| 28 |
-
- name:
|
| 29 |
-
type:
|
| 30 |
-
value: 0.
|
| 31 |
-
- name: SENTER Recall
|
| 32 |
-
type: recall
|
| 33 |
-
value: 0.8776595745
|
| 34 |
-
- name: SENTER F Score
|
| 35 |
-
type: f_score
|
| 36 |
-
value: 0.875331565
|
| 37 |
- task:
|
| 38 |
-
name:
|
| 39 |
type: token-classification
|
| 40 |
metrics:
|
| 41 |
-
- name:
|
| 42 |
type: accuracy
|
| 43 |
-
value: 0.
|
| 44 |
- task:
|
| 45 |
-
name:
|
| 46 |
type: token-classification
|
| 47 |
metrics:
|
| 48 |
-
- name:
|
| 49 |
type: accuracy
|
| 50 |
-
value: 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
---
|
| 52 |
|
| 53 |
<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
|
|
|
|
| 4 |
- token-classification
|
| 5 |
language:
|
| 6 |
- da
|
| 7 |
+
license: apache-2.0-license
|
| 8 |
model-index:
|
| 9 |
- name: da_dacy_medium_trf
|
| 10 |
results:
|
|
|
|
| 14 |
metrics:
|
| 15 |
- name: NER Precision
|
| 16 |
type: precision
|
| 17 |
+
value: 0.8708487085
|
| 18 |
- name: NER Recall
|
| 19 |
type: recall
|
| 20 |
+
value: 0.8458781362
|
| 21 |
- name: NER F Score
|
| 22 |
type: f_score
|
| 23 |
+
value: 0.8581818182
|
| 24 |
- task:
|
| 25 |
+
name: TAG
|
| 26 |
type: token-classification
|
| 27 |
metrics:
|
| 28 |
+
- name: TAG (XPOS) Accuracy
|
| 29 |
+
type: accuracy
|
| 30 |
+
value: 0.9847290149
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
- task:
|
| 32 |
+
name: POS
|
| 33 |
type: token-classification
|
| 34 |
metrics:
|
| 35 |
+
- name: POS (UPOS) Accuracy
|
| 36 |
type: accuracy
|
| 37 |
+
value: 0.985677928
|
| 38 |
- task:
|
| 39 |
+
name: MORPH
|
| 40 |
type: token-classification
|
| 41 |
metrics:
|
| 42 |
+
- name: Morph (UFeats) Accuracy
|
| 43 |
type: accuracy
|
| 44 |
+
value: 0.9814371257
|
| 45 |
+
- task:
|
| 46 |
+
name: UNLABELED_DEPENDENCIES
|
| 47 |
+
type: token-classification
|
| 48 |
+
metrics:
|
| 49 |
+
- name: Unlabeled Attachment Score (UAS)
|
| 50 |
+
type: f_score
|
| 51 |
+
value: 0.9083920564
|
| 52 |
+
- task:
|
| 53 |
+
name: LABELED_DEPENDENCIES
|
| 54 |
+
type: token-classification
|
| 55 |
+
metrics:
|
| 56 |
+
- name: Labeled Attachment Score (LAS)
|
| 57 |
+
type: f_score
|
| 58 |
+
value: 0.883349834
|
| 59 |
+
- task:
|
| 60 |
+
name: SENTS
|
| 61 |
+
type: token-classification
|
| 62 |
+
metrics:
|
| 63 |
+
- name: Sentences F-Score
|
| 64 |
+
type: f_score
|
| 65 |
+
value: 0.9885462555
|
| 66 |
---
|
| 67 |
|
| 68 |
<a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
|