Model_name stringclasses 9
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 9 | Parameters int64 146M 637M | Trainable_parameters int64 21.2M 69.6M | r int64 80 128 | Memory Allocation stringclasses 9
values | Training Time stringclasses 9
values | accuracy float64 0.87 0.89 | f1_macro float64 0.87 0.89 | f1_weighted float64 0.88 0.89 | precision float64 0.87 0.89 | recall float64 0.87 0.89 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 413,060,122 | 57,686,029 | 128 | 4154.46 | 1706.73 | 0.889899 | 0.885608 | 0.890117 | 0.885546 | 0.88603 |
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",
"value",
"out_proj",
"key",
"query"
] | 596,357,146 | 36,452,365 | 80 | 5454.64 | 2065.81 | 0.888397 | 0.883039 | 0.888633 | 0.884265 | 0.882207 |
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"
] | 637,091,840 | 41,300,992 | 96 | 4184.9 | 1121.28 | 0.883181 | 0.877465 | 0.883364 | 0.878204 | 0.877057 |
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... | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 476,958,349 | 69,600,896 | 128 | 4975.51 | 2051.32 | 0.891005 | 0.885279 | 0.891233 | 0.885439 | 0.885427 |
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... | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 446,464,026 | 50,619,405 | 112 | 2598.12 | 939.1 | 0.879545 | 0.872401 | 0.87958 | 0.87474 | 0.870522 |
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... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 476,956,301 | 69,600,896 | 128 | 4955.29 | 2048.52 | 0.888713 | 0.882972 | 0.888844 | 0.883981 | 0.88231 |
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... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 146,488,320 | 21,243,648 | 128 | 1563.33 | 683.55 | 0.87496 | 0.867672 | 0.875197 | 0.868332 | 0.867253 |
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... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 388,222,976 | 57,022,976 | 128 | 3921.01 | 1655.17 | 0.885789 | 0.880646 | 0.886011 | 0.880941 | 0.880691 |
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"
] | 373,179,418 | 38,024,205 | 128 | 3468.85 | 1494.03 | 0.880967 | 0.874678 | 0.881099 | 0.876088 | 0.873734 |
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