Spaces:
Running
Running
removed lines
Browse files
app.py
CHANGED
@@ -108,15 +108,10 @@ def process_file(file,label,info, model_name):
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content = f.read()
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saved_test_dataset = "train.txt"
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saved_test_label = "train_label.txt"
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saved_train_info="train_info.txt"
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# Save the uploaded file content to a specified location
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shutil.copyfile(file.name, saved_test_dataset)
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shutil.copyfile(label.name, saved_test_label)
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-
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shutil.copyfile(info.name, saved_train_info)
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# For demonstration purposes, we'll just return the content with the selected model name
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# if(model_name=="highGRschool10"):
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content = f.read()
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saved_test_dataset = "train.txt"
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saved_test_label = "train_label.txt"
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saved_train_info="train_info.txt"
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# Save the uploaded file content to a specified location
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shutil.copyfile(file.name, saved_test_dataset)
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shutil.copyfile(label.name, saved_test_label)
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shutil.copyfile(info.name, saved_train_info)
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# For demonstration purposes, we'll just return the content with the selected model name
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# if(model_name=="highGRschool10"):
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ratio_proportion_change3_2223/sch_largest_100-coded/logs/highGRschool10/log_test_finetuned.txt
ADDED
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1 |
+
{'epoch': 0, 'iter': 0, 'avg_loss': 1.5496840476989746, 'avg_acc': 40.0, 'loss': 1.5496840476989746}
|
2 |
+
{'epoch': 0, 'iter': 10, 'avg_loss': 0.8559415516528216, 'avg_acc': 52.72727272727272, 'loss': 0.10956348478794098}
|
3 |
+
{'epoch': 0, 'iter': 20, 'avg_loss': 0.818257675284431, 'avg_acc': 51.42857142857142, 'loss': 0.8253201246261597}
|
4 |
+
{'epoch': 0, 'iter': 30, 'avg_loss': 0.8282640369669083, 'avg_acc': 49.03225806451613, 'loss': 1.3043867349624634}
|
5 |
+
{'epoch': 0, 'iter': 40, 'avg_loss': 0.7959969381733638, 'avg_acc': 51.21951219512195, 'loss': 0.5416589975357056}
|
6 |
+
{'epoch': 0, 'iter': 50, 'avg_loss': 0.7974684755591785, 'avg_acc': 49.411764705882355, 'loss': 0.4128425717353821}
|
7 |
+
{'epoch': 0, 'iter': 60, 'avg_loss': 0.8475138205485265, 'avg_acc': 47.21311475409836, 'loss': 0.9325758218765259}
|
8 |
+
{'epoch': 0, 'iter': 70, 'avg_loss': 0.852948009967804, 'avg_acc': 47.32394366197183, 'loss': 1.046299934387207}
|
9 |
+
{'epoch': 0, 'iter': 80, 'avg_loss': 0.8209105803642744, 'avg_acc': 49.382716049382715, 'loss': 0.8824451565742493}
|
10 |
+
{'epoch': 0, 'iter': 90, 'avg_loss': 0.8229587893564623, 'avg_acc': 49.45054945054945, 'loss': 0.6368995904922485}
|
11 |
+
{'epoch': 0, 'iter': 100, 'avg_loss': 0.8193959322306189, 'avg_acc': 50.2970297029703, 'loss': 0.9303101301193237}
|
12 |
+
{'epoch': 0, 'iter': 110, 'avg_loss': 0.790709690601976, 'avg_acc': 51.891891891891895, 'loss': 0.5216326713562012}
|
13 |
+
{'epoch': 0, 'iter': 120, 'avg_loss': 0.8036258492834312, 'avg_acc': 51.2396694214876, 'loss': 1.4479434490203857}
|
14 |
+
{'epoch': 0, 'iter': 130, 'avg_loss': 0.791729781805104, 'avg_acc': 51.7557251908397, 'loss': 0.7250272035598755}
|
15 |
+
{'epoch': 0, 'iter': 140, 'avg_loss': 0.7973896682473784, 'avg_acc': 51.06382978723404, 'loss': 0.7458365559577942}
|
16 |
+
{'epoch': 0, 'iter': 150, 'avg_loss': 0.8018214718395511, 'avg_acc': 51.523178807947026, 'loss': 0.9225670695304871}
|
17 |
+
{'epoch': 0, 'iter': 160, 'avg_loss': 0.7987281313594083, 'avg_acc': 51.42857142857142, 'loss': 0.9038938283920288}
|
18 |
+
{'epoch': 0, 'iter': 170, 'avg_loss': 0.7995727229536626, 'avg_acc': 51.69590643274854, 'loss': 0.6161319613456726}
|
19 |
+
{'epoch': 0, 'iter': 180, 'avg_loss': 0.8114044267828293, 'avg_acc': 51.049723756906076, 'loss': 1.2191474437713623}
|
20 |
+
{'epoch': 0, 'iter': 190, 'avg_loss': 0.80793987175557, 'avg_acc': 51.41361256544502, 'loss': 0.48870745301246643}
|
21 |
+
{'epoch': 0, 'iter': 200, 'avg_loss': 0.8185157425961092, 'avg_acc': 51.14427860696517, 'loss': 0.6329455971717834}
|
22 |
+
{'epoch': 0, 'iter': 210, 'avg_loss': 0.8212848654572997, 'avg_acc': 51.18483412322274, 'loss': 0.8923023343086243}
|
23 |
+
{'epoch': 0, 'iter': 220, 'avg_loss': 0.8161697818547892, 'avg_acc': 51.49321266968325, 'loss': 0.1399487555027008}
|
24 |
+
{'epoch': 0, 'iter': 230, 'avg_loss': 0.8169654901925619, 'avg_acc': 51.25541125541125, 'loss': 0.9861614108085632}
|
25 |
+
{'epoch': 0, 'iter': 240, 'avg_loss': 0.8339173226188328, 'avg_acc': 50.788381742738586, 'loss': 0.31081730127334595}
|
26 |
+
{'epoch': 0, 'iter': 250, 'avg_loss': 0.8392921398835353, 'avg_acc': 50.59760956175299, 'loss': 0.6075574159622192}
|
27 |
+
{'epoch': 0, 'iter': 260, 'avg_loss': 0.8401494497768723, 'avg_acc': 50.57471264367817, 'loss': 1.3042515516281128}
|
28 |
+
{'epoch': 0, 'iter': 270, 'avg_loss': 0.8458465448824682, 'avg_acc': 50.258302583025824, 'loss': 1.2338275909423828}
|
29 |
+
{'epoch': 0, 'iter': 280, 'avg_loss': 0.843027359225996, 'avg_acc': 50.320284697508896, 'loss': 0.4211927354335785}
|
30 |
+
{'epoch': 0, 'iter': 290, 'avg_loss': 0.8444837639012288, 'avg_acc': 50.171821305841924, 'loss': 1.0499225854873657}
|
31 |
+
{'epoch': 0, 'iter': 300, 'avg_loss': 0.8481888300507172, 'avg_acc': 50.033222591362126, 'loss': 0.7186862230300903}
|
32 |
+
{'epoch': 0, 'iter': 310, 'avg_loss': 0.8520605850401799, 'avg_acc': 49.839228295819936, 'loss': 0.7515642046928406}
|
33 |
+
{'epoch': 0, 'iter': 320, 'avg_loss': 0.8540132050155851, 'avg_acc': 49.781931464174455, 'loss': 1.2370407581329346}
|
34 |
+
{'epoch': 0, 'iter': 330, 'avg_loss': 0.8492184812343733, 'avg_acc': 50.03021148036254, 'loss': 0.896265983581543}
|
35 |
+
{'epoch': 0, 'iter': 340, 'avg_loss': 0.8471794229579811, 'avg_acc': 49.97067448680352, 'loss': 1.6743370294570923}
|
36 |
+
{'epoch': 0, 'iter': 350, 'avg_loss': 0.8443615075487357, 'avg_acc': 50.085470085470085, 'loss': 0.5914673209190369}
|
37 |
+
{'epoch': 0, 'iter': 360, 'avg_loss': 0.8454870282571731, 'avg_acc': 49.91689750692521, 'loss': 1.090012550354004}
|
38 |
+
{'epoch': 0, 'iter': 370, 'avg_loss': 0.839884057339793, 'avg_acc': 50.40431266846361, 'loss': 0.1998119056224823}
|
39 |
+
{'epoch': 0, 'iter': 380, 'avg_loss': 0.8448523341475196, 'avg_acc': 50.13123359580053, 'loss': 0.8307355046272278}
|
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830 |
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{'epoch': 'EP0_test', 'avg_loss': 0.8247231508152465, 'total_acc': 50.0, 'precisions': 0.25, 'recalls': 0.5, 'f1_scores': 0.3333333333333333, 'time_taken_from_start': 77.90863966941833, 'auc_score': 0.5}
|
ratio_proportion_change3_2223/sch_largest_100-coded/logs/highGRschool10/log_test_finetuned_info.txt
ADDED
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result.txt
CHANGED
@@ -4,5 +4,5 @@ total_acc: 50.0
|
|
4 |
precisions: 0.25
|
5 |
recalls: 0.5
|
6 |
f1_scores: 0.3333333333333333
|
7 |
-
time_taken_from_start:
|
8 |
auc_score: 0.5
|
|
|
4 |
precisions: 0.25
|
5 |
recalls: 0.5
|
6 |
f1_scores: 0.3333333333333333
|
7 |
+
time_taken_from_start: 77.90863966941833
|
8 |
auc_score: 0.5
|