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ainewtrend07
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Lora

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Model_name
string
Train_size
int64
Test_size
int64
arg
dict
lora
list
Parameters
int64
Trainable_parameters
int64
r
list
Memory Allocation
string
Training Time
string
Performance
dict
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,743,361
12,340
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
28.11
508.76
{ "accuracy": 0.09887764780271893, "f1_macro": 0.051078119159758836, "f1_weighted": 0.06224833401922562, "precision": 0.07312234490568838, "recall": 0.08066768433932364 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,743,361
12,340
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
0.0
503.36
{ "accuracy": 0.09887764780271893, "f1_macro": 0.051078119159758836, "f1_weighted": 0.06224833401922562, "precision": 0.07312234490568838, "recall": 0.08066768433932364 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,755,701
24,680
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
28.71
502.84
{ "accuracy": 0.28264306038570974, "f1_macro": 0.19922121632170126, "f1_weighted": 0.23221768267108092, "precision": 0.21391663307397152, "recall": 0.23966441841653946 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,780,381
49,360
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
28.85
503.52
{ "accuracy": 0.4968384445147012, "f1_macro": 0.39748627701351436, "f1_weighted": 0.4538118621843448, "precision": 0.43762702879806, "recall": 0.43271604798711216 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,829,741
98,720
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
29.15
498.35
{ "accuracy": 0.5928706923806513, "f1_macro": 0.49166758746893113, "f1_weighted": 0.5563112651569494, "precision": 0.4932051878690655, "recall": 0.5219438151140837 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
738,928,461
197,440
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
29.75
500.38
{ "accuracy": 0.6457477078722732, "f1_macro": 0.5546727945273522, "f1_weighted": 0.6181587917956839, "precision": 0.5780294051532124, "recall": 0.5767921688419222 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
739,125,901
394,880
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
30.94
500.68
{ "accuracy": 0.701153967752134, "f1_macro": 0.6162393302465061, "f1_weighted": 0.677211355078315, "precision": 0.6634078117677681, "recall": 0.6368611366616936 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
739,520,781
789,760
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
33.34
505.64
{ "accuracy": 0.7310306670882074, "f1_macro": 0.6666090428214019, "f1_weighted": 0.7151395430657672, "precision": 0.7090260153689505, "recall": 0.6746442212314551 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
740,310,541
1,579,520
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
37.16
505.91
{ "accuracy": 0.7582200442617768, "f1_macro": 0.7184435030455187, "f1_weighted": 0.7512105923550478, "precision": 0.7439347267443513, "recall": 0.7153124995127695 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "dense", "out_proj" ]
741,890,061
3,159,040
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
46.95
503.87
{ "accuracy": 0.7788491938033513, "f1_macro": 0.7563236289753636, "f1_weighted": 0.7771996938036593, "precision": 0.7695076727827187, "recall": 0.7500143479533113 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
743,056,397
4,325,376
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
2285.66
2860.03
{ "accuracy": 0.8578090420486879, "f1_macro": 0.8430957290977693, "f1_weighted": 0.8574070009302465, "precision": 0.8468387411501321, "recall": 0.8404279063617561 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
747,381,773
8,650,752
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
2313.98
2893.27
{ "accuracy": 0.8727473917167247, "f1_macro": 0.8599280304186971, "f1_weighted": 0.8728285692071496, "precision": 0.8629037557039848, "recall": 0.8575897576359917 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
756,032,525
17,301,504
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
2370.7
2854.76
{ "accuracy": 0.8804141637685742, "f1_macro": 0.8685940571377717, "f1_weighted": 0.8805069083325713, "precision": 0.8715607995002201, "recall": 0.8662678299549454 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
773,334,029
34,603,008
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
2484.14
2878.98
{ "accuracy": 0.887132469174834, "f1_macro": 0.8775731024047226, "f1_weighted": 0.8873268079740624, "precision": 0.8793765588394595, "recall": 0.8761000455927076 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
807,937,037
69,206,016
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
2711.71
2861.42
{ "accuracy": 0.89116345241859, "f1_macro": 0.8828036651473229, "f1_weighted": 0.8913164860095011, "precision": 0.8840428478697906, "recall": 0.8818251767498537 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
877,143,053
138,412,032
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
3197.79
2843.2
{ "accuracy": 0.8930603857097692, "f1_macro": 0.885121696255508, "f1_weighted": 0.89321956433534, "precision": 0.8864489437200671, "recall": 0.8840478737203489 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
1,015,555,085
276,824,064
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
4088.56
2881.95
{ "accuracy": 0.8949573190009484, "f1_macro": 0.8879183674188856, "f1_weighted": 0.89513042963796, "precision": 0.8893510690911827, "recall": 0.8867628828988026 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
1,292,379,149
553,648,128
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
6112.57
2863.84
{ "accuracy": 0.894878280113816, "f1_macro": 0.8883767850994637, "f1_weighted": 0.8951228038157044, "precision": 0.8898164675953358, "recall": 0.8872742839733571 }
google-t5/t5-large
50,775
12,652
{ "auto_find_batch_size": true, "gradient_accumulation_steps": 4, "learning_rate": 0.00005, "logging_steps": 1, "lr_scheduler_type": "linear", "num_train_epochs": 1, "optim": "adamw_8bit", "output_dir": "outputs", "report_to": "none", "save_strategy": "no", "save_total_limit": 0, "seed": 3407, "warmup_steps": 5, "weight_decay": 0.01 }
[ "k", "o", "q", "v", "wi", "wo" ]
1,846,027,277
1,107,296,256
[ 4, 8, 16, 32, 64, 128, 256, 512, 1024 ]
9685.26
2896.56
{ "accuracy": 0.8952734745494784, "f1_macro": 0.8892109487083979, "f1_weighted": 0.8954663112347274, "precision": 0.8908080998412203, "recall": 0.8879281558448272 }
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