Update README.md
Browse files
README.md
CHANGED
|
@@ -24,7 +24,7 @@ probably proofread and complete it, then remove this comment. -->
|
|
| 24 |
# dipawidia/xlnet-base-cased-product-review-sentiment-analysis
|
| 25 |
|
| 26 |
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on any type of product reviews dataset gathered from several e-commerce such as shopee, tokopedia, blibli, lazada, and zalora.
|
| 27 |
-
The dataset can be found [here](https://huggingface.co/dipawidia/ecommerce-product-reviews-sentiment)
|
| 28 |
It achieves the following results on the evaluation set:
|
| 29 |
- Train Loss: 0.1085
|
| 30 |
- Train Accuracy: 0.9617
|
|
|
|
| 24 |
# dipawidia/xlnet-base-cased-product-review-sentiment-analysis
|
| 25 |
|
| 26 |
This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on any type of product reviews dataset gathered from several e-commerce such as shopee, tokopedia, blibli, lazada, and zalora.
|
| 27 |
+
The dataset can be found [here](https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment)
|
| 28 |
It achieves the following results on the evaluation set:
|
| 29 |
- Train Loss: 0.1085
|
| 30 |
- Train Accuracy: 0.9617
|