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@@ -30,7 +30,6 @@ SentenceTransformer(
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  ```
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  ## Training and Fine-tuning process
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- The model underwent a rigorous four-stage training and fine-tuning process, each tailored to enhance its ability to generate precise and contextually relevant sentence embeddings for the Vietnamese language. Below is an outline of these stages:
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  #### Stage 1: NLI Training
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  - Dataset: [(SNLI+XNLI) for english+french]
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  - Method: Training using Multi-Negative Ranking Loss. This stage focused on improving the model's ability to discern and rank nuanced differences in sentence semantics.
 
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  ```
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  ## Training and Fine-tuning process
 
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  #### Stage 1: NLI Training
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  - Dataset: [(SNLI+XNLI) for english+french]
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  - Method: Training using Multi-Negative Ranking Loss. This stage focused on improving the model's ability to discern and rank nuanced differences in sentence semantics.