dipawidia
/

xlnet-base-cased-product-review-sentiment-analysis

Text Classification

generated_from_keras_callback

sentiment analysis

Inference Endpoints

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dipawidia commited on 17 days ago

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 # dipawidia/xlnet-base-cased-product-review-sentiment-analysis
 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.
-The dataset can be found [here](https://huggingface.co/dipawidia/ecommerce-product-reviews-sentiment)
 It achieves the following results on the evaluation set:
 - Train Loss: 0.1085
 - Train Accuracy: 0.9617

 # dipawidia/xlnet-base-cased-product-review-sentiment-analysis
 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.
+The dataset can be found [here](https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment)
 It achieves the following results on the evaluation set:
 - Train Loss: 0.1085
 - Train Accuracy: 0.9617