Commit
•
e231fd7
1
Parent(s):
325cf1c
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (7c49ac9f8dd01ce1504cefe0ac34e35fa5f9edfa)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: mit
|
3 |
tags:
|
4 |
- generated_from_trainer
|
@@ -9,12 +11,18 @@ metrics:
|
|
9 |
- recall
|
10 |
- f1
|
11 |
- accuracy
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
model-index:
|
13 |
- name: bert-italian-finetuned-ner
|
14 |
results:
|
15 |
- task:
|
16 |
-
name: Token Classification
|
17 |
type: token-classification
|
|
|
18 |
dataset:
|
19 |
name: wiki_neural
|
20 |
type: wiki_neural
|
@@ -22,25 +30,18 @@ model-index:
|
|
22 |
split: validation
|
23 |
args: it
|
24 |
metrics:
|
25 |
-
-
|
26 |
-
type: precision
|
27 |
value: 0.9438064759036144
|
28 |
-
|
29 |
-
|
30 |
value: 0.954225352112676
|
31 |
-
|
32 |
-
|
33 |
value: 0.9489873178118493
|
34 |
-
|
35 |
-
|
36 |
value: 0.9917883014379933
|
37 |
-
|
38 |
-
- text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
|
39 |
-
example_title: Example 1
|
40 |
-
- text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
|
41 |
-
example_title: Example 2
|
42 |
-
language:
|
43 |
-
- it
|
44 |
---
|
45 |
|
46 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- it
|
4 |
license: mit
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
11 |
- recall
|
12 |
- f1
|
13 |
- accuracy
|
14 |
+
widget:
|
15 |
+
- text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
|
16 |
+
example_title: Example 1
|
17 |
+
- text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
|
18 |
+
example_title: Example 2
|
19 |
+
base_model: dbmdz/bert-base-italian-cased
|
20 |
model-index:
|
21 |
- name: bert-italian-finetuned-ner
|
22 |
results:
|
23 |
- task:
|
|
|
24 |
type: token-classification
|
25 |
+
name: Token Classification
|
26 |
dataset:
|
27 |
name: wiki_neural
|
28 |
type: wiki_neural
|
|
|
30 |
split: validation
|
31 |
args: it
|
32 |
metrics:
|
33 |
+
- type: precision
|
|
|
34 |
value: 0.9438064759036144
|
35 |
+
name: Precision
|
36 |
+
- type: recall
|
37 |
value: 0.954225352112676
|
38 |
+
name: Recall
|
39 |
+
- type: f1
|
40 |
value: 0.9489873178118493
|
41 |
+
name: F1
|
42 |
+
- type: accuracy
|
43 |
value: 0.9917883014379933
|
44 |
+
name: Accuracy
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
---
|
46 |
|
47 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|