Librarian Bot: Add base_model information to model
#2
by
librarian-bot
- opened
README.md
CHANGED
|
@@ -8,26 +8,27 @@ metrics:
|
|
| 8 |
- recall
|
| 9 |
- accuracy
|
| 10 |
- precision
|
|
|
|
| 11 |
model-index:
|
| 12 |
- name: financial_sentiment_model
|
| 13 |
results:
|
| 14 |
- task:
|
| 15 |
-
name: Text Classification
|
| 16 |
type: text-classification
|
|
|
|
| 17 |
dataset:
|
| 18 |
name: financial_phrasebank
|
| 19 |
type: financial_phrasebank
|
| 20 |
args: sentences_50agree
|
| 21 |
metrics:
|
| 22 |
-
-
|
| 23 |
-
type: recall
|
| 24 |
value: 0.8839956357328868
|
| 25 |
-
|
| 26 |
-
|
| 27 |
value: 0.8804123711340206
|
| 28 |
-
|
| 29 |
-
|
| 30 |
value: 0.8604175202419276
|
|
|
|
| 31 |
---
|
| 32 |
|
| 33 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 8 |
- recall
|
| 9 |
- accuracy
|
| 10 |
- precision
|
| 11 |
+
base_model: deepmind/language-perceiver
|
| 12 |
model-index:
|
| 13 |
- name: financial_sentiment_model
|
| 14 |
results:
|
| 15 |
- task:
|
|
|
|
| 16 |
type: text-classification
|
| 17 |
+
name: Text Classification
|
| 18 |
dataset:
|
| 19 |
name: financial_phrasebank
|
| 20 |
type: financial_phrasebank
|
| 21 |
args: sentences_50agree
|
| 22 |
metrics:
|
| 23 |
+
- type: recall
|
|
|
|
| 24 |
value: 0.8839956357328868
|
| 25 |
+
name: Recall
|
| 26 |
+
- type: accuracy
|
| 27 |
value: 0.8804123711340206
|
| 28 |
+
name: Accuracy
|
| 29 |
+
- type: precision
|
| 30 |
value: 0.8604175202419276
|
| 31 |
+
name: Precision
|
| 32 |
---
|
| 33 |
|
| 34 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|