Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 8 | Parameters int64 129M 773M | Trainable_parameters int64 3.59M 34.3M | r int64 12 12 | Memory Allocation stringclasses 10
values | Training Time stringclasses 10
values | accuracy float64 0.89 0.91 | f1_macro float64 0.88 0.9 | f1_weighted float64 0.89 0.91 | precision float64 0.88 0.9 | recall float64 0.88 0.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"out_proj",
"value",
"dense",
"key",
"query"
] | 368,293,063 | 12,918,970 | 12 | 3467.41 | 2689.99 | 0.898909 | 0.895138 | 0.89908 | 0.895917 | 0.894577 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"out_proj"
] | 566,408,839 | 6,504,058 | 12 | 4980.52 | 2741.83 | 0.901043 | 0.896856 | 0.901412 | 0.897538 | 0.896667 |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 605,769,650 | 9,978,802 | 12 | 3682.5 | 2083.07 | 0.892586 | 0.887556 | 0.89284 | 0.889135 | 0.886444 |
RUCAIBox/mvp | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,553,031 | 17,195,578 | 12 | 4133.0 | 3285.61 | 0.901755 | 0.89704 | 0.901877 | 0.898188 | 0.896092 |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"Wi",
"Wo",
"classifier",
"dense"
] | 403,417,831 | 7,573,210 | 12 | 1934.31 | 1608.46 | 0.893693 | 0.888158 | 0.893826 | 0.890207 | 0.886527 |
facebook/bart-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,550,983 | 17,195,578 | 12 | 4141.46 | 3244.94 | 0.902466 | 0.898689 | 0.902608 | 0.899563 | 0.898087 |
facebook/opt-125m | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 128,838,962 | 3,594,290 | 12 | 1424.84 | 912.76 | 0.887528 | 0.882033 | 0.887706 | 0.882887 | 0.881434 |
facebook/opt-350m | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"fc1",
"fc2",
"out_proj",
"project_in",
"project_out",
"score"
] | 337,660,026 | 6,460,026 | 12 | 3141.29 | 2167.89 | 0.893851 | 0.888996 | 0.894049 | 0.889952 | 0.888375 |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"classifier",
"dense"
] | 341,659,271 | 6,504,058 | 12 | 3175.62 | 2211.66 | 0.89148 | 0.886515 | 0.891663 | 0.886496 | 0.886787 |
google-t5/t5-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 773,005,383 | 34,302,010 | 12 | 7630.73 | 6312.53 | 0.905311 | 0.900479 | 0.905602 | 0.900788 | 0.900472 |
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