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How to replace the best_accuracy.pth with arabic.pth ?

See original GitHub issue

I finetuned the Arabic model on my dataset : and this is my config file:

number: '1234567890١٢٣٤٥٦٧٨٩٠'
symbol: ''
character:  "0123456789!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~ abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ٠١٢٣٤٥٦٧٨٩«»؟،؛ءآأؤإئااًبةتثجحخدذرزسشصضطظعغفقكلمنهوىيٱٹپچڈڑژکڭگںھۀہۂۃۆۇۈۋیېےۓە"
experiment_name: 'arabic' 
train_data: 'all_data/en_train_filtered'
valid_data: 'all_data/en_val'
manualSeed: 1111
workers: 6
batch_size: 2 
num_iter: 15
valInterval: 5
saved_model: '/content/drive/MyDrive/OCR Data/arabic.pth' 
FT: False
optim: False # default is Adadelta
lr: 1.
beta1: 0.9
rho: 0.95
eps: 0.00000001
grad_clip: 5
#Data processing
select_data: 'all_data/en_train_filtered' # this is dataset folder in train_data
batch_ratio: '1' 
total_data_usage_ratio: 1.0
batch_max_length: 34 
imgH: 64
imgW: 600
rgb: False
contrast_adjust: False
sensitive: True
PAD: True
contrast_adjust: 0.0
data_filtering_off: False
# Model Architecture
Transformation: 'None'
FeatureExtraction: 'ResNet'
SequenceModeling: 'BiLSTM'
Prediction: 'CTC'
num_fiducial: 20
input_channel: 1
output_channel: 512
hidden_size: 512
decode: 'greedy'
new_prediction: False
freeze_FeatureFxtraction: False
freeze_SequenceModeling: False

I go to the originally downloaded model here and replace it with my model :

when i try to initialize the reader again i got this error:

What is the correct way to replace the original model with my fine-tuned model?

Issue Analytics

State:
Created 10 months ago
Comments:14

Top GitHub Comments

1reaction

amroghoneimcommented, Nov 29, 2022

@rkcosmos can you please check this out and give us any advice?

1reaction

amroghoneimcommented, Nov 29, 2022

Facing the same issue too still.

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