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  ## Model description:
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  [Albert](https://arxiv.org/pdf/1909.11942v6.pdf) is A Lite BERT architecture that has significantly fewer parameters than a traditional BERT architecture.
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- `[Albert-base-v2](https://huggingface.co/albert-base-v2)` finetuned on the emotion dataset using HuggingFace Trainer with below Hyperparameters
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  ```
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  learning rate 2e-5,
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  batch size 64,
 
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  ## Model description:
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  [Albert](https://arxiv.org/pdf/1909.11942v6.pdf) is A Lite BERT architecture that has significantly fewer parameters than a traditional BERT architecture.
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+ [Albert-base-v2](https://huggingface.co/albert-base-v2) finetuned on the emotion dataset using HuggingFace Trainer with below Hyperparameters
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  ```
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  learning rate 2e-5,
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  batch size 64,