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  # bert-base-uncased-emotion
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  ## Model description:
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- `bert-base-uncased` finetuned on the emotion dataset using HuggingFace Trainer with below training parameters
 
 
 
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  ```
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  learning rate 2e-5,
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  batch size 64,
 
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  # bert-base-uncased-emotion
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  ## Model description:
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+ [Bert](https://arxiv.org/abs/1810.04805) is a Transformer Bidirectional Encoder based Architecture trained on MLM(Mask Language Modeling) objective
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+ [bert-base-uncased](https://huggingface.co/bert-base-uncased) finetuned on the emotion dataset using HuggingFace Trainer with below training parameters
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  ```
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  learning rate 2e-5,
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  batch size 64,