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 90.8 | f1_macro float64 88.5 90.4 | f1_weighted float64 89 90.9 | precision float64 88.6 90.5 | recall float64 88.4 90.3 |
|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | 355,374,093 | 7139.29 | 89.93835 | 89.591786 | 89.952558 | 89.6963 | 89.517022 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | 559,904,781 | 11216.43 | 89.819791 | 89.39849 | 89.843775 | 89.44678 | 89.375791 |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | 595,790,848 | 10250.29 | 89.013595 | 88.494748 | 89.033795 | 88.59406 | 88.439463 |
RUCAIBox/mvp | 50,775 | 12,652 | 407,357,453 | 8160.17 | 90.238697 | 89.849388 | 90.255477 | 89.934628 | 89.787992 |
answerdotai/ModernBERT-large | 50,775 | 12,652 | 395,844,621 | 6457.05 | 89.677521 | 89.128751 | 89.683752 | 89.237492 | 89.042897 |
facebook/bart-large | 50,775 | 12,652 | 407,355,405 | 8156.96 | 90.270313 | 89.811435 | 90.284092 | 89.894116 | 89.755203 |
facebook/opt-125m | 50,775 | 12,652 | 125,244,672 | 4366.84 | 89.053114 | 88.589192 | 89.069257 | 88.741666 | 88.46269 |
facebook/opt-350m | 50,775 | 12,652 | 331,200,000 | 6633.11 | 89.487828 | 89.018242 | 89.50273 | 89.134481 | 88.941236 |
google-bert/bert-large-uncased | 50,775 | 12,652 | 335,155,213 | 6717.3 | 89.558963 | 89.17596 | 89.586845 | 89.258307 | 89.12749 |
google-t5/t5-large | 50,775 | 12,652 | 738,703,373 | 11844.25 | 90.839393 | 90.39216 | 90.858935 | 90.497768 | 90.314148 |
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