Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Hindi Sentiment Analysis Model
|
| 2 |
|
| 3 |
This repository contains a Hindi sentiment analysis model that can classify text into three categories: negative (neg), neutral (neu), and positive (pos). The model has been trained and evaluated using various BERT-based architectures, with XLM-RoBERTa showing the best performance.
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
datasets:
|
| 4 |
+
- OdiaGenAI/sentiment_analysis_hindi
|
| 5 |
+
language:
|
| 6 |
+
- hi
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
- f1
|
| 10 |
+
base_model:
|
| 11 |
+
- FacebookAI/xlm-roberta-large
|
| 12 |
+
---
|
| 13 |
# Hindi Sentiment Analysis Model
|
| 14 |
|
| 15 |
This repository contains a Hindi sentiment analysis model that can classify text into three categories: negative (neg), neutral (neu), and positive (pos). The model has been trained and evaluated using various BERT-based architectures, with XLM-RoBERTa showing the best performance.
|