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 float64 1.97 11.3 | accuracy float64 89.1 90.6 | f1_macro float64 88.6 90.1 | f1_weighted float64 89.1 90.6 | precision float64 88.7 90.2 | recall float64 88.5 90.1 |
|---|---|---|---|---|---|---|---|---|---|
google-t5/t5-large | 50,775 | 12,652 | 738,731,021 | 11.32 | 90.53 | 90.01 | 90.55 | 89.98 | 90.08 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | 559,903,757 | 10.95 | 90 | 89.62 | 90.02 | 89.63 | 89.64 |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | 595,789,824 | 7.5 | 89.06 | 88.56 | 89.1 | 88.71 | 88.47 |
RUCAIBox/mvp | 50,775 | 12,652 | 407,356,429 | 7.07 | 90.37 | 89.98 | 90.39 | 90.03 | 89.95 |
FacebookAI/roberta-large | 50,775 | 12,652 | 355,373,069 | 6.95 | 90.2 | 89.73 | 90.22 | 89.65 | 89.82 |
facebook/bart-large | 50,775 | 12,652 | 407,354,381 | 5.82 | 90.51 | 90.08 | 90.53 | 90.17 | 90.02 |
answerdotai/ModernBERT-large | 50,775 | 12,652 | 395,844,621 | 5.71 | 90.58 | 90.13 | 90.59 | 90.19 | 90.09 |
google-bert/bert-large-uncased | 50,775 | 12,652 | 335,155,213 | 4.77 | 89.47 | 89.04 | 89.5 | 89.15 | 88.98 |
facebook/opt-350m | 50,775 | 12,652 | 331,203,072 | 4.72 | 89.35 | 88.87 | 89.36 | 89.02 | 88.77 |
facebook/opt-125m | 50,775 | 12,652 | 125,249,280 | 1.97 | 89.12 | 88.65 | 89.14 | 88.78 | 88.54 |
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