Commit
•
3b9ddf8
1
Parent(s):
cc73619
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,8 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
| 32 |
-
This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on [The PRDECT-ID Dataset](https://www.kaggle.com/datasets/jocelyndumlao/prdect-id-indonesian-emotion-classification), it is a compilation of Indonesian product reviews that come with emotion and sentiment labels. These reviews were gathered from one of Indonesia's largest e-commerce platforms, Tokopedia
|
| 33 |
-
It has been trained to classify text into six different emotion categories: happy, sadness, anger, love, and fear.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 0.6762
|
| 36 |
- Accuracy: 0.6981
|
|
@@ -38,7 +37,7 @@ It achieves the following results on the evaluation set:
|
|
| 38 |
- Recall: 0.6981
|
| 39 |
- F1: 0.6963
|
| 40 |
|
| 41 |
-
|
| 42 |
|
| 43 |
|
| 44 |
## Training and evaluation data
|
|
|
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
| 32 |
+
This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on [The PRDECT-ID Dataset](https://www.kaggle.com/datasets/jocelyndumlao/prdect-id-indonesian-emotion-classification), it is a compilation of Indonesian product reviews that come with emotion and sentiment labels. These reviews were gathered from one of Indonesia's largest e-commerce platforms, Tokopedia.
|
|
|
|
| 33 |
It achieves the following results on the evaluation set:
|
| 34 |
- Loss: 0.6762
|
| 35 |
- Accuracy: 0.6981
|
|
|
|
| 37 |
- Recall: 0.6981
|
| 38 |
- F1: 0.6963
|
| 39 |
|
| 40 |
+
It has been trained to classify text into six different emotion categories: happy, sadness, anger, love, and fear.
|
| 41 |
|
| 42 |
|
| 43 |
## Training and evaluation data
|