Model_name stringclasses 10
values | Train_size int64 50 50 | Test_size int64 50 50 | 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 0.06 0.16 | f1_macro float64 0.01 0.08 | f1_weighted float64 0.01 0.11 | precision float64 0 0.11 | recall float64 0.05 0.11 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/xlm-roberta-large | 50 | 50 | {
"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",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 1097.88 | 3.21 | 0.06 | 0.008708 | 0.006792 | 0.004615 | 0.076923 |
FacebookAI/xlm-roberta-large | 50 | 50 | {
"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",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 1097.88 | 3.21 | 0.06 | 0.008708 | 0.006792 | 0.004615 | 0.076923 |
FacebookAI/roberta-large | 50 | 50 | {
"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",
"value",
"out_proj",
"key",
"query"
] | 413,060,122 | 57,686,029 | 128 | 1251.4 | 4.26 | 0.14 | 0.018893 | 0.034386 | 0.010769 | 0.076923 |
FacebookAI/xlm-roberta-large | 50 | 50 | {
"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",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 1097.88 | 3.21 | 0.06 | 0.008708 | 0.006792 | 0.004615 | 0.076923 |
Qwen/Qwen3-Reranker-0.6B | 50 | 50 | {
"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"
] | 637,091,840 | 41,300,992 | 96 | 1779.6 | 4.47 | 0.08 | 0.032234 | 0.053524 | 0.02714 | 0.050824 |
RUCAIBox/mvp | 50 | 50 | {
"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",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 476,958,349 | 69,600,896 | 128 | 1611.63 | 13.48 | 0.06 | 0.037698 | 0.054484 | 0.090533 | 0.054487 |
answerdotai/ModernBERT-large | 50 | 50 | {
"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",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 446,464,026 | 50,619,405 | 112 | 1406.6 | 3.01 | 0.08 | 0.07906 | 0.060556 | 0.096404 | 0.088462 |
facebook/bart-large | 50 | 50 | {
"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... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 476,956,301 | 69,600,896 | 128 | 1558.9 | 8.92 | 0.06 | 0.023701 | 0.038486 | 0.042986 | 0.060897 |
facebook/opt-125m | 50 | 50 | {
"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... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 146,488,320 | 21,243,648 | 128 | 1228.2 | 3.08 | 0.12 | 0.049242 | 0.063788 | 0.04092 | 0.110989 |
facebook/opt-350m | 50 | 50 | {
"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... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 388,222,976 | 57,022,976 | 128 | 1303.22 | 8.28 | 0.06 | 0.044872 | 0.058333 | 0.057199 | 0.064835 |
google-bert/bert-large-uncased | 50 | 50 | {
"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"
] | 373,179,418 | 38,024,205 | 128 | 950.97 | 2.95 | 0.12 | 0.016484 | 0.025714 | 0.009231 | 0.076923 |
google-t5/t5-large | 50 | 50 | {
"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",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 877,510,285 | 138,806,912 | 128 | 3199.05 | 6.39 | 0.16 | 0.06685 | 0.11119 | 0.110436 | 0.100733 |
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