Commit
•
3a56115
1
Parent(s):
bd60314
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (71f536c36516b33e705e75e10b8b14afdc9511de)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
CHANGED
@@ -1,11 +1,8 @@
|
|
1 |
---
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
-
language: en
|
6 |
-
widget:
|
7 |
-
- text: "My name is Scott and I live in Columbus."
|
8 |
-
- text: "Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne."
|
9 |
datasets:
|
10 |
- conll2003
|
11 |
metrics:
|
@@ -13,29 +10,33 @@ metrics:
|
|
13 |
- recall
|
14 |
- f1
|
15 |
- accuracy
|
|
|
|
|
|
|
|
|
16 |
model-index:
|
17 |
- name: albert-base-v2-finetuned-ner
|
18 |
results:
|
19 |
- task:
|
20 |
-
name: Token Classification
|
21 |
type: token-classification
|
|
|
22 |
dataset:
|
23 |
name: conll2003
|
24 |
type: conll2003
|
25 |
args: conll2003
|
26 |
metrics:
|
27 |
-
-
|
28 |
-
type: precision
|
29 |
value: 0.9252213840603477
|
30 |
-
|
31 |
-
|
32 |
value: 0.9329732113328189
|
33 |
-
|
34 |
-
|
35 |
value: 0.9290811285541773
|
36 |
-
|
37 |
-
|
38 |
value: 0.9848205157332728
|
|
|
39 |
---
|
40 |
|
41 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
1 |
---
|
2 |
+
language: en
|
3 |
license: apache-2.0
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
6 |
datasets:
|
7 |
- conll2003
|
8 |
metrics:
|
|
|
10 |
- recall
|
11 |
- f1
|
12 |
- accuracy
|
13 |
+
widget:
|
14 |
+
- text: My name is Scott and I live in Columbus.
|
15 |
+
- text: Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne.
|
16 |
+
base_model: albert-base-v2
|
17 |
model-index:
|
18 |
- name: albert-base-v2-finetuned-ner
|
19 |
results:
|
20 |
- task:
|
|
|
21 |
type: token-classification
|
22 |
+
name: Token Classification
|
23 |
dataset:
|
24 |
name: conll2003
|
25 |
type: conll2003
|
26 |
args: conll2003
|
27 |
metrics:
|
28 |
+
- type: precision
|
|
|
29 |
value: 0.9252213840603477
|
30 |
+
name: Precision
|
31 |
+
- type: recall
|
32 |
value: 0.9329732113328189
|
33 |
+
name: Recall
|
34 |
+
- type: f1
|
35 |
value: 0.9290811285541773
|
36 |
+
name: F1
|
37 |
+
- type: accuracy
|
38 |
value: 0.9848205157332728
|
39 |
+
name: Accuracy
|
40 |
---
|
41 |
|
42 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|