Commit
•
d7738b8
1
Parent(s):
3c7e2f4
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ library_name: transformers
|
|
| 18 |
|
| 19 |
This model is based on our pretrained [5CD-AI/visobert-14gb-corpus](https://huggingface.co/5CD-AI/visobert-14gb-corpus), which has been continuously trained on a 14GB dataset of Vietnamese social content. So it can perform well with many comment sentiments accompanied by emojis 😂👍💬🔥
|
| 20 |
|
| 21 |
-
Our model is fine-tuned on <b>120K Vietnamese sentiment datasets </b>, including comments and reviews from e-commerce platforms, social media, and forums. Our model has been trained on a diverse range of datasets: SA-VLSP2016, AIVIVN-2019, UIT-VSFC, UIT-VSMEC, UIT-ViCTSD, UIT-ViOCD, UIT-ViSFD, Vi-amazon-reviews, Tiki-reviews.
|
| 22 |
|
| 23 |
The model will give softmax outputs for three labels.
|
| 24 |
|
|
|
|
| 18 |
|
| 19 |
This model is based on our pretrained [5CD-AI/visobert-14gb-corpus](https://huggingface.co/5CD-AI/visobert-14gb-corpus), which has been continuously trained on a 14GB dataset of Vietnamese social content. So it can perform well with many comment sentiments accompanied by emojis 😂👍💬🔥
|
| 20 |
|
| 21 |
+
Our model is fine-tuned on <b>120K Vietnamese sentiment analysis datasets </b>, including comments and reviews from e-commerce platforms, social media, and forums. Our model has been trained on a diverse range of datasets: SA-VLSP2016, AIVIVN-2019, UIT-VSFC, UIT-VSMEC, UIT-ViCTSD, UIT-ViOCD, UIT-ViSFD, Vi-amazon-reviews, Tiki-reviews.
|
| 22 |
|
| 23 |
The model will give softmax outputs for three labels.
|
| 24 |
|