Librarian Bot: Add base_model information to model
#3
by
librarian-bot
- opened
README.md
CHANGED
|
@@ -6,23 +6,24 @@ datasets:
|
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
| 8 |
- f1
|
|
|
|
| 9 |
model-index:
|
| 10 |
- name: bertweet-base-finetuned-emotion
|
| 11 |
results:
|
| 12 |
- task:
|
| 13 |
-
name: Text Classification
|
| 14 |
type: text-classification
|
|
|
|
| 15 |
dataset:
|
| 16 |
name: emotion
|
| 17 |
type: emotion
|
| 18 |
args: default
|
| 19 |
metrics:
|
| 20 |
-
-
|
| 21 |
-
type: accuracy
|
| 22 |
value: 0.9365
|
| 23 |
-
|
| 24 |
-
|
| 25 |
value: 0.9371
|
|
|
|
| 26 |
- task:
|
| 27 |
type: text-classification
|
| 28 |
name: Text Classification
|
|
@@ -32,49 +33,49 @@ model-index:
|
|
| 32 |
config: default
|
| 33 |
split: test
|
| 34 |
metrics:
|
| 35 |
-
-
|
| 36 |
-
type: accuracy
|
| 37 |
value: 0.923
|
|
|
|
| 38 |
verified: true
|
| 39 |
-
-
|
| 40 |
-
type: precision
|
| 41 |
value: 0.8676576686813523
|
|
|
|
| 42 |
verified: true
|
| 43 |
-
-
|
| 44 |
-
type: precision
|
| 45 |
value: 0.923
|
|
|
|
| 46 |
verified: true
|
| 47 |
-
-
|
| 48 |
-
type: precision
|
| 49 |
value: 0.9268406401714973
|
|
|
|
| 50 |
verified: true
|
| 51 |
-
-
|
| 52 |
-
type: recall
|
| 53 |
value: 0.8945488803260702
|
|
|
|
| 54 |
verified: true
|
| 55 |
-
-
|
| 56 |
-
type: recall
|
| 57 |
value: 0.923
|
|
|
|
| 58 |
verified: true
|
| 59 |
-
-
|
| 60 |
-
type: recall
|
| 61 |
value: 0.923
|
|
|
|
| 62 |
verified: true
|
| 63 |
-
-
|
| 64 |
-
type: f1
|
| 65 |
value: 0.8798961895301041
|
|
|
|
| 66 |
verified: true
|
| 67 |
-
-
|
| 68 |
-
type: f1
|
| 69 |
value: 0.923
|
|
|
|
| 70 |
verified: true
|
| 71 |
-
-
|
| 72 |
-
type: f1
|
| 73 |
value: 0.9241278880972197
|
|
|
|
| 74 |
verified: true
|
| 75 |
-
-
|
| 76 |
-
type: loss
|
| 77 |
value: 0.24626904726028442
|
|
|
|
| 78 |
verified: true
|
| 79 |
---
|
| 80 |
|
|
|
|
| 6 |
metrics:
|
| 7 |
- accuracy
|
| 8 |
- f1
|
| 9 |
+
base_model: distilbert-base-uncased
|
| 10 |
model-index:
|
| 11 |
- name: bertweet-base-finetuned-emotion
|
| 12 |
results:
|
| 13 |
- task:
|
|
|
|
| 14 |
type: text-classification
|
| 15 |
+
name: Text Classification
|
| 16 |
dataset:
|
| 17 |
name: emotion
|
| 18 |
type: emotion
|
| 19 |
args: default
|
| 20 |
metrics:
|
| 21 |
+
- type: accuracy
|
|
|
|
| 22 |
value: 0.9365
|
| 23 |
+
name: Accuracy
|
| 24 |
+
- type: f1
|
| 25 |
value: 0.9371
|
| 26 |
+
name: F1
|
| 27 |
- task:
|
| 28 |
type: text-classification
|
| 29 |
name: Text Classification
|
|
|
|
| 33 |
config: default
|
| 34 |
split: test
|
| 35 |
metrics:
|
| 36 |
+
- type: accuracy
|
|
|
|
| 37 |
value: 0.923
|
| 38 |
+
name: Accuracy
|
| 39 |
verified: true
|
| 40 |
+
- type: precision
|
|
|
|
| 41 |
value: 0.8676576686813523
|
| 42 |
+
name: Precision Macro
|
| 43 |
verified: true
|
| 44 |
+
- type: precision
|
|
|
|
| 45 |
value: 0.923
|
| 46 |
+
name: Precision Micro
|
| 47 |
verified: true
|
| 48 |
+
- type: precision
|
|
|
|
| 49 |
value: 0.9268406401714973
|
| 50 |
+
name: Precision Weighted
|
| 51 |
verified: true
|
| 52 |
+
- type: recall
|
|
|
|
| 53 |
value: 0.8945488803260702
|
| 54 |
+
name: Recall Macro
|
| 55 |
verified: true
|
| 56 |
+
- type: recall
|
|
|
|
| 57 |
value: 0.923
|
| 58 |
+
name: Recall Micro
|
| 59 |
verified: true
|
| 60 |
+
- type: recall
|
|
|
|
| 61 |
value: 0.923
|
| 62 |
+
name: Recall Weighted
|
| 63 |
verified: true
|
| 64 |
+
- type: f1
|
|
|
|
| 65 |
value: 0.8798961895301041
|
| 66 |
+
name: F1 Macro
|
| 67 |
verified: true
|
| 68 |
+
- type: f1
|
|
|
|
| 69 |
value: 0.923
|
| 70 |
+
name: F1 Micro
|
| 71 |
verified: true
|
| 72 |
+
- type: f1
|
|
|
|
| 73 |
value: 0.9241278880972197
|
| 74 |
+
name: F1 Weighted
|
| 75 |
verified: true
|
| 76 |
+
- type: loss
|
|
|
|
| 77 |
value: 0.24626904726028442
|
| 78 |
+
name: loss
|
| 79 |
verified: true
|
| 80 |
---
|
| 81 |
|