Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
@@ -9,12 +9,13 @@ metrics:
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
|
|
12 |
model-index:
|
13 |
- name: bert-finetuned-ner
|
14 |
results:
|
15 |
- task:
|
16 |
-
name: Token Classification
|
17 |
type: token-classification
|
|
|
18 |
dataset:
|
19 |
name: conll2003
|
20 |
type: conll2003
|
@@ -22,18 +23,18 @@ model-index:
|
|
22 |
split: train
|
23 |
args: conll2003
|
24 |
metrics:
|
25 |
-
-
|
26 |
-
type: precision
|
27 |
value: 0.9371173258315406
|
28 |
-
|
29 |
-
|
30 |
value: 0.9530461124200605
|
31 |
-
|
32 |
-
|
33 |
value: 0.945014601585315
|
34 |
-
|
35 |
-
|
36 |
value: 0.9865338199799847
|
|
|
37 |
---
|
38 |
|
39 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
12 |
+
base_model: bert-base-cased
|
13 |
model-index:
|
14 |
- name: bert-finetuned-ner
|
15 |
results:
|
16 |
- task:
|
|
|
17 |
type: token-classification
|
18 |
+
name: Token Classification
|
19 |
dataset:
|
20 |
name: conll2003
|
21 |
type: conll2003
|
|
|
23 |
split: train
|
24 |
args: conll2003
|
25 |
metrics:
|
26 |
+
- type: precision
|
|
|
27 |
value: 0.9371173258315406
|
28 |
+
name: Precision
|
29 |
+
- type: recall
|
30 |
value: 0.9530461124200605
|
31 |
+
name: Recall
|
32 |
+
- type: f1
|
33 |
value: 0.945014601585315
|
34 |
+
name: F1
|
35 |
+
- type: accuracy
|
36 |
value: 0.9865338199799847
|
37 |
+
name: Accuracy
|
38 |
---
|
39 |
|
40 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|