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Model_name
stringclasses
10 values
Train_size
int64
50.8k
50.8k
Test_size
int64
12.7k
12.7k
arg
dict
lora
listlengths
1
1
Parameters
int64
125M
739M
Trainable_parameters
int64
125M
739M
r
int64
-1
-1
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
5326.87
1757.65
{ "accuracy": 0.9016756244072084, "f1_macro": 0.8978863330154438, "f1_weighted": 0.9019091175956631, "precision": 0.898394907381461, "recall": 0.8976537236830632 }
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
9406.96
2287.1
{ "accuracy": 0.8990673411318368, "f1_macro": 0.8947503453883361, "f1_weighted": 0.8992361097113668, "precision": 0.895080712527213, "recall": 0.8947056533315088 }
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
7678.37
1485.67
{ "accuracy": 0.89116345241859, "f1_macro": 0.8860771604187373, "f1_weighted": 0.8914068553686231, "precision": 0.88667781635103, "recall": 0.8860303870550256 }
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
6056.82
2071.13
{ "accuracy": 0.9023869743914006, "f1_macro": 0.8987538460929206, "f1_weighted": 0.9024850828311346, "precision": 0.8998192059687518, "recall": 0.8979330451651847 }
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
4473.82
1076.01
{ "accuracy": 0.8944040467910211, "f1_macro": 0.8893637156943115, "f1_weighted": 0.8944840714007815, "precision": 0.8912223765957705, "recall": 0.8880931606565796 }
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
6054.73
2069.28
{ "accuracy": 0.9016756244072084, "f1_macro": 0.8976701274352444, "f1_weighted": 0.9017670455948228, "precision": 0.8986810714850227, "recall": 0.8969019825014819 }
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
2048.97
556.34
{ "accuracy": 0.8918748024027822, "f1_macro": 0.8872747331822676, "f1_weighted": 0.8920173389931928, "precision": 0.8882988620566417, "recall": 0.8864476692254856 }
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
4849.83
1668.78
{ "accuracy": 0.8928232690483718, "f1_macro": 0.8882853318007817, "f1_weighted": 0.8929675382845196, "precision": 0.8896598905395361, "recall": 0.8872599486117677 }
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
4937.25
1703.88
{ "accuracy": 0.8950363578880809, "f1_macro": 0.8906069185856749, "f1_weighted": 0.8951312432938715, "precision": 0.8910041209107392, "recall": 0.8904618561014833 }
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...
[ "NotUsed" ]
738,703,373
738,703,373
-1
10609.1
3939.68
{ "accuracy": 0.9017546632943408, "f1_macro": 0.8968779961923113, "f1_weighted": 0.9020523726578661, "precision": 0.8975177072664375, "recall": 0.8965873944822389 }
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