Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 9 | Parameters int64 146M 878M | Trainable_parameters int64 21.2M 139M | r int64 80 128 | Memory Allocation stringclasses 10
values | Training Time stringclasses 10
values | accuracy float64 0.88 0.9 | f1_macro float64 0.88 0.9 | f1_weighted float64 0.88 0.9 | 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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,059,098 | 57,686,029 | 128 | 1231.89 | 1470.73 | 0.899463 | 0.895811 | 0.899707 | 0.896599 | 0.895253 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 596,356,122 | 36,452,365 | 80 | 1098.16 | 1390.19 | 0.897249 | 0.892896 | 0.897395 | 0.894109 | 0.891924 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 637,090,816 | 41,300,992 | 96 | 1784.86 | 2076.16 | 0.895827 | 0.890406 | 0.896105 | 0.891466 | 0.889647 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 476,957,325 | 69,600,896 | 128 | 1676.95 | 1872.1 | 0.897328 | 0.892208 | 0.897446 | 0.893072 | 0.891575 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 446,464,026 | 50,619,405 | 112 | 1402.52 | 1692.0 | 0.895194 | 0.889349 | 0.895291 | 0.891539 | 0.88751 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 476,955,277 | 69,600,896 | 128 | 1636.66 | 1845.94 | 0.897961 | 0.89277 | 0.898023 | 0.893271 | 0.892434 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 146,487,552 | 21,243,648 | 128 | 497.42 | 525.2 | 0.882943 | 0.87644 | 0.883109 | 0.877322 | 0.875785 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 388,222,464 | 57,022,976 | 128 | 1307.06 | 1465.4 | 0.894088 | 0.889611 | 0.894287 | 0.89183 | 0.887791 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"classifier",
"dense"
] | 373,179,418 | 38,024,205 | 128 | 951.66 | 1286.91 | 0.887528 | 0.881598 | 0.887703 | 0.882997 | 0.880532 |
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": 0.2,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
... | [
"wi",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 877,509,261 | 138,806,912 | 128 | 3349.04 | 3755.2 | 0.891084 | 0.883659 | 0.891259 | 0.885744 | 0.882105 |
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