Model_name string | Train_size int64 | Test_size int64 | lora list | Trainable_parameters int64 | r int64 | Memory Allocation string | Training Time string | accuracy float64 | f1_macro float64 | f1_weighted float64 | precision float64 | recall float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | [
"out_proj",
"value",
"dense",
"key",
"query"
] | 12,918,970 | 12 | 6193.76 | 2499.6 | 90.072716 | 89.708549 | 90.086349 | 89.725361 | 89.70757 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | [
"dense",
"out_proj"
] | 6,504,058 | 12 | 8125.82 | 2557.59 | null | null | null | null | null |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 9,978,802 | 12 | 6827.79 | 2030.58 | null | null | null | null | null |
RUCAIBox/mvp | 50,775 | 12,652 | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 17,195,578 | 12 | 7573.99 | 3082.17 | null | null | null | null | null |
answerdotai/ModernBERT-large | 50,775 | 12,652 | [
"Wi",
"Wo",
"classifier",
"dense"
] | 7,573,210 | 12 | 5375.29 | 1574.03 | null | null | null | null | null |
facebook/bart-large | 50,775 | 12,652 | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 17,195,578 | 12 | 7582.44 | 3046.39 | null | null | null | null | null |
facebook/opt-125m | 50,775 | 12,652 | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 3,594,290 | 12 | 4865.83 | 912.51 | null | null | null | null | null |
facebook/opt-350m | 50,775 | 12,652 | [
"fc1",
"fc2",
"out_proj",
"project_in",
"project_out",
"score"
] | 6,460,026 | 12 | 6582.27 | 2024.13 | null | null | null | null | null |
google-bert/bert-large-uncased | 50,775 | 12,652 | [
"classifier",
"dense"
] | 6,504,058 | 12 | 6616.61 | 2064.18 | null | null | null | null | null |
google-t5/t5-large | 50,775 | 12,652 | [
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 34,302,010 | 12 | 14125.97 | 5925.97 | null | null | null | null | null |
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