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mrp
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Thai-Semantic-Textual-Similarity-Benchmark

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mrp commited on Nov 29, 2021

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@@ -11,5 +11,5 @@ To address this problem we provide the Thai sentence vector benchmark. We evalua
 | [simcse-model-distil-m-bert](https://huggingface.co/mrp/simcse-model-distil-m-bert)  | 38.84  |
 | [simcse-model-m-bert-thai-cased](https://huggingface.co/mrp/simcse-model-m-bert-thai-cased)  | 39.26  |
 | [simcse-model-roberta-base-thai](https://huggingface.co/mrp/simcse-model-roberta-base-thai)  | 62.60  |
-| [distiluse-base-multilingual-cased-v2](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2)  | 63.50  | :heavy_check_mark:
-| [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2)  | 80.11  | :heavy_check_mark:

 | [simcse-model-distil-m-bert](https://huggingface.co/mrp/simcse-model-distil-m-bert)  | 38.84  |
 | [simcse-model-m-bert-thai-cased](https://huggingface.co/mrp/simcse-model-m-bert-thai-cased)  | 39.26  |
 | [simcse-model-roberta-base-thai](https://huggingface.co/mrp/simcse-model-roberta-base-thai)  | 62.60  |
+| [distiluse-base-multilingual-cased-v2](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2)  | 63.50  | ✓
+| [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2)  | 80.11  | ✓