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 | Performance dict |
|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,060,122 | 57,686,029 | 128 | 4163.02 | 1983.74 | {
"accuracy": 0.8970123300663927,
"f1_macro": 0.8926639861545821,
"f1_weighted": 0.8972457815608174,
"precision": 0.8935061846199862,
"recall": 0.8920353525320343
} |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 5445.3 | 2379.13 | {
"accuracy": 0.8920328801770471,
"f1_macro": 0.8859962908610755,
"f1_weighted": 0.8922692947834011,
"precision": 0.8876676071780774,
"recall": 0.8847411403483917
} |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 637,091,840 | 41,300,992 | 96 | 4211.65 | 1314.49 | {
"accuracy": 0.8860259247549794,
"f1_macro": 0.880067999700453,
"f1_weighted": 0.8862549776652922,
"precision": 0.8801506390238921,
"recall": 0.8802988216337396
} |
RUCAIBox/mvp | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 476,958,349 | 69,600,896 | 128 | 4982.96 | 2385.18 | {
"accuracy": 0.8912424913057224,
"f1_macro": 0.8855120948293992,
"f1_weighted": 0.8914036137314626,
"precision": 0.8863983289066325,
"recall": 0.8848600771411858
} |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 446,464,026 | 50,619,405 | 112 | 2601.13 | 1085.38 | {
"accuracy": 0.8831805248182105,
"f1_macro": 0.875919719454243,
"f1_weighted": 0.8832063314419077,
"precision": 0.8791954647484452,
"recall": 0.8732375482211764
} |
facebook/bart-large | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 476,956,301 | 69,600,896 | 128 | 4960.89 | 2363.8 | {
"accuracy": 0.8937717356939614,
"f1_macro": 0.8883859032972707,
"f1_weighted": 0.8939940717552797,
"precision": 0.8891036323972046,
"recall": 0.8879685402230544
} |
facebook/opt-125m | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 146,488,320 | 21,243,648 | 128 | 1567.27 | 715.22 | {
"accuracy": 0.8784381915902624,
"f1_macro": 0.871840213362055,
"f1_weighted": 0.8787016942287315,
"precision": 0.8724127306420718,
"recall": 0.8715650465479577
} |
facebook/opt-350m | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 388,222,976 | 57,022,976 | 128 | 3925.36 | 1911.41 | {
"accuracy": 0.8888713246917483,
"f1_macro": 0.8838815847069311,
"f1_weighted": 0.8890218492623143,
"precision": 0.8845754325641685,
"recall": 0.8834353661699724
} |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"adafactor": null,
"adam_beta1": null,
"adam_beta2": null,
"adam_epsilon": null,
"auto_find_batch_size": true,
"bf16": null,
"fp16": null,
"fp16_opt_level": null,
"gradient_accumulation_steps": 4,
"half_precision_backend": null,
"label_smoothing_factor": null,
"learning_rate": 0.00005,
"logg... | [
"classifier",
"dense"
] | 373,179,418 | 38,024,205 | 128 | 3485.82 | 1742.44 | {
"accuracy": 0.8826272526082832,
"f1_macro": 0.8767859611437863,
"f1_weighted": 0.8828634711185982,
"precision": 0.8788249867267054,
"recall": 0.8752963571517972
} |
google-t5/t5-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"auto_find_batch_size": null,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lo... | [
"wi",
"out_proj",
"dense",
"o",
"wo",
"v",
"q",
"k"
] | 877,510,285 | 138,806,912 | 128 | 9262.57 | 4552.4 | {
"accuracy": 0.8765412582990831,
"f1_macro": 0.862985321149302,
"f1_weighted": 0.876287941167223,
"precision": 0.8680112312893442,
"recall": 0.8595999458668795
} |
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