Model_name stringclasses 10
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 1 8 | Parameters int64 125M 739M | Trainable_parameters int64 125M 739M | r int64 -1 12 | 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... | [
"NotUsed"
] | 355,374,093 | 355,374,093 | -1 | 7139.29 | 1711.3 | {
"accuracy": 0.8993834966803668,
"f1_macro": 0.895917858656911,
"f1_weighted": 0.8995255780296232,
"precision": 0.8969630012192199,
"recall": 0.895170221587849
} |
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... | [
"NotUsed"
] | 559,904,781 | 559,904,781 | -1 | 11216.43 | 2243.7 | {
"accuracy": 0.8981979133733797,
"f1_macro": 0.8939849011135337,
"f1_weighted": 0.8984377531667189,
"precision": 0.8944677977448083,
"recall": 0.8937579127911631
} |
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... | [
"NotUsed"
] | 595,790,848 | 595,790,848 | -1 | 10250.29 | 1542.59 | {
"accuracy": 0.8901359468858678,
"f1_macro": 0.8849474799349685,
"f1_weighted": 0.8903379534290716,
"precision": 0.8859405982180848,
"recall": 0.8843946250779655
} |
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... | [
"NotUsed"
] | 407,357,453 | 407,357,453 | -1 | 8160.17 | 2030.77 | {
"accuracy": 0.9023869743914006,
"f1_macro": 0.8984938817011633,
"f1_weighted": 0.9025547741181597,
"precision": 0.8993462834252578,
"recall": 0.8978799175349835
} |
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... | [
"NotUsed"
] | 395,844,621 | 395,844,621 | -1 | 6457.05 | 1111.32 | {
"accuracy": 0.8967752134049952,
"f1_macro": 0.8912875118455494,
"f1_weighted": 0.8968375215897876,
"precision": 0.8923749227715505,
"recall": 0.8904289720895309
} |
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... | [
"NotUsed"
] | 407,355,405 | 407,355,405 | -1 | 8156.96 | 2024.33 | {
"accuracy": 0.9027031299399304,
"f1_macro": 0.8981143453890291,
"f1_weighted": 0.9028409174898163,
"precision": 0.8989411618917125,
"recall": 0.8975520286546576
} |
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... | [
"NotUsed"
] | 125,244,672 | 125,244,672 | -1 | 4366.84 | 533.66 | {
"accuracy": 0.8905311413215302,
"f1_macro": 0.8858919155440845,
"f1_weighted": 0.8906925655531546,
"precision": 0.8874166618721715,
"recall": 0.8846268997341176
} |
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... | [
"NotUsed"
] | 331,200,000 | 331,200,000 | -1 | 6633.11 | 1625.79 | {
"accuracy": 0.894878280113816,
"f1_macro": 0.8901824243987767,
"f1_weighted": 0.8950272998944735,
"precision": 0.8913448053088379,
"recall": 0.8894123565342522
} |
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... | [
"NotUsed"
] | 335,155,213 | 335,155,213 | -1 | 6717.3 | 1665.82 | {
"accuracy": 0.8955896300980082,
"f1_macro": 0.891759600679782,
"f1_weighted": 0.895868454652075,
"precision": 0.8925830668602092,
"recall": 0.8912749017502597
} |
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": 1,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lo... | [
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 738,703,373 | 738,703,373 | 12 | 11844.25 | 9275.45 | {
"accuracy": 0.9083939298134682,
"f1_macro": 0.9039216039734477,
"f1_weighted": 0.9085893538893742,
"precision": 0.9049776841091993,
"recall": 0.9031414782177328
} |
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