Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | Trainable_parameters int64 125M 739M | Memory Allocation stringclasses 10
values | accuracy float64 89.2 90.6 | f1_macro float64 88.7 90.1 | f1_weighted float64 89.2 90.6 | precision float64 88.8 90.2 | recall float64 88.7 90.1 |
|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | 355,373,069 | 3467.04 | 89.803984 | 89.41593 | 89.82861 | 89.495909 | 89.358012 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | 559,903,757 | 5947.09 | 89.717041 | 89.312413 | 89.73277 | 89.367168 | 89.288002 |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | 595,789,824 | 6156.02 | 89.574771 | 89.152408 | 89.598125 | 89.338747 | 89.004346 |
RUCAIBox/mvp | 50,775 | 12,652 | 407,356,429 | 3746.96 | 90.22289 | 89.841984 | 90.240965 | 89.968171 | 89.746045 |
answerdotai/ModernBERT-large | 50,775 | 12,652 | 395,844,621 | 3577.95 | 90.262409 | 89.864299 | 90.268902 | 89.933532 | 89.814668 |
facebook/bart-large | 50,775 | 12,652 | 407,354,381 | 3649.56 | 90.143851 | 89.705048 | 90.16496 | 89.754821 | 89.678928 |
facebook/opt-125m | 50,775 | 12,652 | 125,249,280 | 2005.1 | 89.18748 | 88.746984 | 89.199524 | 88.841612 | 88.675315 |
facebook/opt-350m | 50,775 | 12,652 | 331,203,072 | 2752.48 | 89.392981 | 88.925712 | 89.414314 | 89.07922 | 88.824808 |
google-bert/bert-large-uncased | 50,775 | 12,652 | 335,155,213 | 2897.4 | 89.630098 | 89.235129 | 89.657896 | 89.395243 | 89.118045 |
google-t5/t5-large | 50,775 | 12,652 | 738,731,021 | 6727.74 | 90.61018 | 90.134804 | 90.631885 | 90.165684 | 90.129658 |
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