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 | 50 | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 57,686,029 | 128 | 2008.26 | 3.36 | 6 | 1.153846 | 1.2 | 0.641026 | 5.769231 |
FacebookAI/xlm-roberta-large | 50 | 50 | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 36,452,365 | 80 | 1102.08 | 3.1 | null | null | null | null | null |
Qwen/Qwen3-Reranker-0.6B | 50 | 50 | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 41,300,992 | 96 | 1784.85 | 3.83 | null | null | null | null | null |
RUCAIBox/mvp | 50 | 50 | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 69,600,896 | 128 | 1609.1 | 3.44 | null | null | null | null | null |
answerdotai/ModernBERT-large | 50 | 50 | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 50,619,405 | 112 | 1411.08 | 3.18 | null | null | null | null | null |
facebook/bart-large | 50 | 50 | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 69,600,896 | 128 | 1553.11 | 3.52 | null | null | null | null | null |
facebook/opt-125m | 50 | 50 | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 21,243,648 | 128 | 1221.64 | 2.3 | null | null | null | null | null |
facebook/opt-350m | 50 | 50 | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 57,022,976 | 128 | 1308.24 | 3.0 | null | null | null | null | null |
google-bert/bert-large-uncased | 50 | 50 | [
"classifier",
"dense"
] | 38,024,205 | 128 | 954.61 | 2.72 | null | null | null | null | null |
google-t5/t5-large | 50 | 50 | [
"wi",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 138,806,912 | 128 | 2951.26 | 11.54 | null | null | null | null | null |
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