Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ tags:
|
|
| 3 |
- generated_from_trainer
|
| 4 |
language: ja
|
| 5 |
widget:
|
| 6 |
-
- text: "
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
| 9 |
- f1
|
|
@@ -25,17 +25,12 @@ It achieves the following results on the evaluation set:
|
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
| 28 |
-
|
| 29 |
|
| 30 |
## Intended uses & limitations
|
| 31 |
|
| 32 |
-
|
| 33 |
|
| 34 |
-
## Training and evaluation data
|
| 35 |
-
|
| 36 |
-
More information needed
|
| 37 |
-
|
| 38 |
-
## Training procedure
|
| 39 |
|
| 40 |
### Training hyperparameters
|
| 41 |
|
|
|
|
| 3 |
- generated_from_trainer
|
| 4 |
language: ja
|
| 5 |
widget:
|
| 6 |
+
- text: "🤗セグメント利益は、前期比8.3％増の24億28百万円となった"
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
| 9 |
- f1
|
|
|
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
| 28 |
+
Model Train for Japanese sentence sentiments.
|
| 29 |
|
| 30 |
## Intended uses & limitations
|
| 31 |
|
| 32 |
+
The model was trained on chABSA Japanese dataset.
|
| 33 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
### Training hyperparameters
|
| 36 |
|