Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
@@ -3,28 +3,29 @@ license: apache-2.0
|
|
3 |
tags:
|
4 |
- generated_from_keras_callback
|
5 |
datasets:
|
6 |
-
|
7 |
metrics:
|
8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
model-index:
|
10 |
- name: fintuned-bert-disfluency
|
11 |
results:
|
12 |
- task:
|
13 |
-
name: Text Classification
|
14 |
type: text-classification
|
|
|
15 |
dataset:
|
16 |
name: disfl_qa
|
17 |
type: disfl_qa
|
18 |
args: disfl_qa
|
19 |
metrics:
|
20 |
-
-
|
21 |
-
type: validation_accuracy
|
22 |
value: 0.9795
|
23 |
-
|
24 |
-
- text: "I love football so much"
|
25 |
-
example_title: "Non Disfluent"
|
26 |
-
- text: "I love love football I like it"
|
27 |
-
example_title: "Disfluent"
|
28 |
---
|
29 |
|
30 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
|
3 |
tags:
|
4 |
- generated_from_keras_callback
|
5 |
datasets:
|
6 |
+
- disfl_qa
|
7 |
metrics:
|
8 |
+
- validation_accuracy
|
9 |
+
widget:
|
10 |
+
- text: I love football so much
|
11 |
+
example_title: Non Disfluent
|
12 |
+
- text: I love love football I like it
|
13 |
+
example_title: Disfluent
|
14 |
+
base_model: bert-base-uncased
|
15 |
model-index:
|
16 |
- name: fintuned-bert-disfluency
|
17 |
results:
|
18 |
- task:
|
|
|
19 |
type: text-classification
|
20 |
+
name: Text Classification
|
21 |
dataset:
|
22 |
name: disfl_qa
|
23 |
type: disfl_qa
|
24 |
args: disfl_qa
|
25 |
metrics:
|
26 |
+
- type: validation_accuracy
|
|
|
27 |
value: 0.9795
|
28 |
+
name: Validation Accuracy
|
|
|
|
|
|
|
|
|
29 |
---
|
30 |
|
31 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|