Model_name stringclasses 10 values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 8 | Parameters int64 129M 773M | Trainable_parameters int64 3.59M 34.3M | r int64 12 12 | Memory Allocation stringclasses 10 values | Training Time stringclasses 10 values | accuracy float64 0.09 0.91 | f1_macro float64 0.01 0.9 | f1_weighted float64 0.02 0.91 | precision float64 0.01 0.9 | recall float64 0.08 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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"out_proj",
"value",
"dense",
"key",
"query"
] | 368,292,039 | 12,918,970 | 12 | 1237.01 | 2909.96 | 0.90049 | 0.896779 | 0.900719 | 0.897989 | 0.895894 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"dense",
"out_proj"
] | 566,407,815 | 6,504,058 | 12 | 845.29 | 2214.48 | 0.093187 | 0.013114 | 0.015887 | 0.007168 | 0.076923 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 605,768,626 | 9,978,802 | 12 | 1744.89 | 3527.94 | 0.896775 | 0.892818 | 0.896975 | 0.89383 | 0.892113 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,552,007 | 17,195,578 | 12 | 1749.94 | 3714.9 | 0.902545 | 0.897526 | 0.902668 | 0.898431 | 0.896771 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"Wi",
"Wo",
"classifier",
"dense"
] | 403,417,831 | 7,573,210 | 12 | 1227.62 | 2748.53 | 0.901913 | 0.897607 | 0.902043 | 0.899103 | 0.896401 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"dense",
"v_proj",
"k_proj"
] | 424,549,959 | 17,195,578 | 12 | 1634.54 | 3632.49 | 0.904363 | 0.899944 | 0.9045 | 0.900645 | 0.899423 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"fc2",
"q_proj",
"out_proj",
"fc1",
"v_proj",
"k_proj",
"score"
] | 128,838,194 | 3,594,290 | 12 | 401.95 | 819.14 | 0.891005 | 0.886465 | 0.891159 | 0.887617 | 0.885562 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"fc1",
"fc2",
"out_proj",
"project_in",
"project_out",
"score"
] | 337,659,514 | 6,460,026 | 12 | 855.1 | 2178.35 | 0.895115 | 0.890664 | 0.895288 | 0.891849 | 0.889767 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"classifier",
"dense"
] | 341,659,271 | 6,504,058 | 12 | 858.58 | 2268.29 | 0.894246 | 0.890121 | 0.894383 | 0.890752 | 0.889666 |
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",
"max_grad_norm": 1,
"max_steps": -1,
"n_gpu": 1,
"num_train_epochs": 1,
"optim": "adamw_8bit",
"optim_args": "Not have",
"per_device_eval_batch_size": 8,
"per_device_train_batch_size": 8,
"warmup_ratio": 0,
"warmup_steps": 5,
"weight_decay": 0.01
} | [
"wo",
"out_proj",
"q",
"wi",
"dense",
"k",
"v",
"o"
] | 773,004,359 | 34,302,010 | 12 | 3506.07 | 7309.94 | 0.907525 | 0.902837 | 0.907748 | 0.903339 | 0.902594 |
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