Model Selection

Low-resource BERT

# Low-resource BERT

NeuroBERT is a lightweight natural language processing model based on BERT, optimized for resource-constrained devices, suitable for edge computing and IoT scenarios.

Large Language Model

Bert Tiny Finetuned Sst2

This model is based on the BERT-tiny architecture and fine-tuned on the SST-2 dataset using the M-FAC second-order optimizer for text classification tasks.

Text Classification

Bert Mini Finetuned Squadv2

This model is based on the BERT-mini architecture, fine-tuned on the SQuAD 2.0 dataset using the M-FAC second-order optimizer for question answering tasks.

Question Answering System

Bert Mini Finetuned Sst2

This model is a BERT-mini model fine-tuned on the SST-2 dataset using the M-FAC second-order optimizer for text classification tasks.

Text Classification

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