add model
Browse files- log_train.txt +81 -0
- opt.txt +46 -0
- weights.pth +3 -0
log_train.txt
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[20000/100000] Train loss: 0.00232, Valid loss: 0.02736, Elapsed_time: 1.18203
|
| 2 |
+
Current_accuracy : 98.059, Current_norm_ED : 0.9942
|
| 3 |
+
Best_accuracy : 98.059, Best_norm_ED : 0.9942
|
| 4 |
+
--------------------------------------------------------------------------------
|
| 5 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 6 |
+
--------------------------------------------------------------------------------
|
| 7 |
+
s.r.o. | s.r.o. | 0.5311 True
|
| 8 |
+
Měna | Měna | 0.7593 True
|
| 9 |
+
--------------------------------------------------------------------------------
|
| 10 |
+
[30000/100000] Train loss: 0.00146, Valid loss: 0.02109, Elapsed_time: 2456.25806
|
| 11 |
+
Current_accuracy : 98.745, Current_norm_ED : 0.9964
|
| 12 |
+
Best_accuracy : 98.745, Best_norm_ED : 0.9964
|
| 13 |
+
--------------------------------------------------------------------------------
|
| 14 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 15 |
+
--------------------------------------------------------------------------------
|
| 16 |
+
dle | dle | 0.9645 True
|
| 17 |
+
Převodem | Převodem | 0.9791 True
|
| 18 |
+
--------------------------------------------------------------------------------
|
| 19 |
+
[40000/100000] Train loss: 0.00108, Valid loss: 0.02672, Elapsed_time: 4782.50053
|
| 20 |
+
Current_accuracy : 98.709, Current_norm_ED : 0.9958
|
| 21 |
+
Best_accuracy : 98.745, Best_norm_ED : 0.9964
|
| 22 |
+
--------------------------------------------------------------------------------
|
| 23 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 24 |
+
--------------------------------------------------------------------------------
|
| 25 |
+
09.12.2014 | 09.12.2014 | 0.8218 True
|
| 26 |
+
9.5.2029 | 9.5.2029 | 0.4325 True
|
| 27 |
+
--------------------------------------------------------------------------------
|
| 28 |
+
[50000/100000] Train loss: 0.00073, Valid loss: 0.02723, Elapsed_time: 6993.57320
|
| 29 |
+
Current_accuracy : 98.663, Current_norm_ED : 0.9951
|
| 30 |
+
Best_accuracy : 98.745, Best_norm_ED : 0.9964
|
| 31 |
+
--------------------------------------------------------------------------------
|
| 32 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 33 |
+
--------------------------------------------------------------------------------
|
| 34 |
+
Kočka, | Kočka, | 0.7800 True
|
| 35 |
+
S | s | 0.9990 False
|
| 36 |
+
--------------------------------------------------------------------------------
|
| 37 |
+
[60000/100000] Train loss: 0.00054, Valid loss: 0.02719, Elapsed_time: 9208.35791
|
| 38 |
+
Current_accuracy : 98.826, Current_norm_ED : 0.9962
|
| 39 |
+
Best_accuracy : 98.826, Best_norm_ED : 0.9964
|
| 40 |
+
--------------------------------------------------------------------------------
|
| 41 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 42 |
+
--------------------------------------------------------------------------------
|
| 43 |
+
DPH | DPH | 0.9867 True
|
| 44 |
+
o.p.s. | o.p.s. | 0.5624 True
|
| 45 |
+
--------------------------------------------------------------------------------
|
| 46 |
+
[70000/100000] Train loss: 0.00041, Valid loss: 0.02750, Elapsed_time: 11424.37288
|
| 47 |
+
Current_accuracy : 98.816, Current_norm_ED : 0.9961
|
| 48 |
+
Best_accuracy : 98.826, Best_norm_ED : 0.9964
|
| 49 |
+
--------------------------------------------------------------------------------
|
| 50 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 51 |
+
--------------------------------------------------------------------------------
|
| 52 |
+
kod/ | kod/ | 0.8549 True
|
| 53 |
+
936,00 | 936,00 | 0.6291 True
|
| 54 |
+
--------------------------------------------------------------------------------
|
| 55 |
+
[80000/100000] Train loss: 0.00022, Valid loss: 0.02862, Elapsed_time: 13656.19782
|
| 56 |
+
Current_accuracy : 98.837, Current_norm_ED : 0.9961
|
| 57 |
+
Best_accuracy : 98.837, Best_norm_ED : 0.9964
|
| 58 |
+
--------------------------------------------------------------------------------
|
| 59 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 60 |
+
--------------------------------------------------------------------------------
|
| 61 |
+
dle | dle | 0.9986 True
|
| 62 |
+
20% | 20% | 0.9884 True
|
| 63 |
+
--------------------------------------------------------------------------------
|
| 64 |
+
[90000/100000] Train loss: 0.00023, Valid loss: 0.02950, Elapsed_time: 15886.34628
|
| 65 |
+
Current_accuracy : 98.831, Current_norm_ED : 0.9960
|
| 66 |
+
Best_accuracy : 98.837, Best_norm_ED : 0.9964
|
| 67 |
+
--------------------------------------------------------------------------------
|
| 68 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 69 |
+
--------------------------------------------------------------------------------
|
| 70 |
+
dle | dle | 0.9992 True
|
| 71 |
+
č.1201701006 | č.1201701006 | 0.9703 True
|
| 72 |
+
--------------------------------------------------------------------------------
|
| 73 |
+
[100000/100000] Train loss: 0.00016, Valid loss: 0.02873, Elapsed_time: 18085.04172
|
| 74 |
+
Current_accuracy : 98.829, Current_norm_ED : 0.9960
|
| 75 |
+
Best_accuracy : 98.837, Best_norm_ED : 0.9964
|
| 76 |
+
--------------------------------------------------------------------------------
|
| 77 |
+
Ground Truth | Prediction | Confidence Score & T/F
|
| 78 |
+
--------------------------------------------------------------------------------
|
| 79 |
+
877,00 | 877,00 | 0.4445 True
|
| 80 |
+
20% | 20% | 0.9912 True
|
| 81 |
+
--------------------------------------------------------------------------------
|
opt.txt
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
------------ Options -------------
|
| 2 |
+
number:
|
| 3 |
+
symbol:
|
| 4 |
+
lang_char: !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ªÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþÿĀāĂ㥹ĆćČčĎďĐđĒēĖėĘęĚěĞğĨĩĪīĮįİıĶķĹĺĻļĽľŁłŃńŅņŇňŒœŔŕŘřŚśŞşŠšŤťŨũŪūŮůŲųŸŹźŻżŽžƏƠơƯưȘșȚțə̇ḌḍḶḷṀṁṂṃṄṅṆṇṬṭẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ€
|
| 5 |
+
experiment_name: continued_v4
|
| 6 |
+
train_data: all_data
|
| 7 |
+
valid_data: all_data/valid
|
| 8 |
+
manualSeed: 1111
|
| 9 |
+
workers: 6
|
| 10 |
+
batch_size: 32
|
| 11 |
+
num_iter: 100000
|
| 12 |
+
valInterval: 10000
|
| 13 |
+
saved_model: saved_models/v4/iter_20000.pth
|
| 14 |
+
FT: False
|
| 15 |
+
optim: Adam
|
| 16 |
+
lr: 1.0
|
| 17 |
+
beta1: 0.9
|
| 18 |
+
rho: 0.95
|
| 19 |
+
eps: 1e-08
|
| 20 |
+
grad_clip: 5
|
| 21 |
+
select_data: ['train']
|
| 22 |
+
batch_ratio: ['1']
|
| 23 |
+
total_data_usage_ratio: 1.0
|
| 24 |
+
batch_max_length: 34
|
| 25 |
+
imgH: 64
|
| 26 |
+
imgW: 600
|
| 27 |
+
rgb: False
|
| 28 |
+
contrast_adjust: 0.0
|
| 29 |
+
sensitive: True
|
| 30 |
+
PAD: True
|
| 31 |
+
data_filtering_off: False
|
| 32 |
+
Transformation: None
|
| 33 |
+
FeatureExtraction: VGG
|
| 34 |
+
SequenceModeling: BiLSTM
|
| 35 |
+
Prediction: CTC
|
| 36 |
+
num_fiducial: 20
|
| 37 |
+
input_channel: 1
|
| 38 |
+
output_channel: 256
|
| 39 |
+
hidden_size: 256
|
| 40 |
+
decode: greedy
|
| 41 |
+
new_prediction: False
|
| 42 |
+
freeze_FeatureFxtraction: False
|
| 43 |
+
freeze_SequenceModeling: False
|
| 44 |
+
character: !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ªÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöøùúûüýþÿĀāĂ㥹ĆćČčĎďĐđĒēĖėĘęĚěĞğĨĩĪīĮįİıĶķĹĺĻļĽľŁłŃńŅņŇňŒœŔŕŘřŚśŞşŠšŤťŨũŪūŮůŲųŸŹźŻżŽžƏƠơƯưȘșȚțə̇ḌḍḶḷṀṁṂṃṄṅṆṇṬṭẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ€
|
| 45 |
+
num_class: 352
|
| 46 |
+
---------------------------------------
|
weights.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee60dc28318f61eb47533fa2d2bb94ed9b2fb636453cac6b95c9e4dc415f095e
|
| 3 |
+
size 15404555
|