Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
@@ -7,23 +7,24 @@ datasets:
|
|
7 |
metrics:
|
8 |
- precision
|
9 |
- recall
|
|
|
10 |
model-index:
|
11 |
- name: bert-emotion
|
12 |
results:
|
13 |
- task:
|
14 |
-
name: Text Classification
|
15 |
type: text-classification
|
|
|
16 |
dataset:
|
17 |
name: tweet_eval
|
18 |
type: tweet_eval
|
19 |
args: emotion
|
20 |
metrics:
|
21 |
-
-
|
22 |
-
type: precision
|
23 |
value: 0.7081377380103309
|
24 |
-
|
25 |
-
|
26 |
value: 0.709386945441909
|
|
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
7 |
metrics:
|
8 |
- precision
|
9 |
- recall
|
10 |
+
base_model: distilbert-base-cased
|
11 |
model-index:
|
12 |
- name: bert-emotion
|
13 |
results:
|
14 |
- task:
|
|
|
15 |
type: text-classification
|
16 |
+
name: Text Classification
|
17 |
dataset:
|
18 |
name: tweet_eval
|
19 |
type: tweet_eval
|
20 |
args: emotion
|
21 |
metrics:
|
22 |
+
- type: precision
|
|
|
23 |
value: 0.7081377380103309
|
24 |
+
name: Precision
|
25 |
+
- type: recall
|
26 |
value: 0.709386945441909
|
27 |
+
name: Recall
|
28 |
---
|
29 |
|
30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|