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@@ -24,7 +24,7 @@ probably proofread and complete it, then remove this comment. -->
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  # dipawidia/xlnet-base-cased-product-review-sentiment-analysis
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  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.
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- The dataset can be found [here](https://huggingface.co/dipawidia/ecommerce-product-reviews-sentiment)
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.1085
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  - Train Accuracy: 0.9617
 
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  # dipawidia/xlnet-base-cased-product-review-sentiment-analysis
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  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.
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+ The dataset can be found [here](https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment)
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.1085
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  - Train Accuracy: 0.9617