80 lines
1.9 KiB
Python
80 lines
1.9 KiB
Python
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# GLOBAL VARS
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DEVICE = "cuda:0"
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IGNORE_KIE_LABEL = "others"
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KIE_LABELS = [
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"id",
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"name",
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"dob",
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"home",
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"add",
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"sex",
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"nat",
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"exp",
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"eth",
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"rel",
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"date",
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"org",
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IGNORE_KIE_LABEL,
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]
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SEED = 42
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NAME_LABEL = "microsoft/layoutxlm-base"
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##########################################
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BASE_CONFIG = {
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"global": {
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"device": DEVICE,
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"kie_labels": KIE_LABELS,
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},
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"data": {
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"custom": True,
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"path": "src/custom/load_data.py",
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"method": "load_data",
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"train_path": "/home/sds/hoangmd/TokenClassification_copy/giaykhaisinh/synthesis_for_train/",
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"val_path": "/home/sds/hoangmd/TokenClassification_copy/giaykhaisinh/SDV_Meddoc_BirthCert/",
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"max_seq_len": 512,
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"batch_size": 8,
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"pretrained_processor": NAME_LABEL ,
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"kie_labels": KIE_LABELS,
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"device": DEVICE,
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},
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"model": {
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"custom": True,
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"path": "src/custom/load_model.py",
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"method": "load_model",
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"pretrained_model": NAME_LABEL,
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"kie_labels": KIE_LABELS,
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"device": DEVICE,
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},
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"optimizer": {
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"custom": True,
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"path": "src/custom/load_optimizer.py",
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"method": "load_optimizer",
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"lr": 5e-6,
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"weight_decay": 0,
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"betas": (0.9, 0.999),
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},
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"trainer": {
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"custom": True,
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"path": "src/custom/load_trainer.py",
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"method": "load_trainer",
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"kie_labels": KIE_LABELS,
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"save_dir": "weights",
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"n_epoches": 100,
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},
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}
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ID_CARD = BASE_CONFIG
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ID_CARD["data"] = {
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"custom": True,
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"path": "src/custom/load_data_id_card.py",
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"method": "load_data",
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"train_path": "/home/sds/hungbnt/KIE_pretrained/data/207/idcard_cmnd_8-9-2022",
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"label_path": "/home/sds/hungbnt/KIE_pretrained/data/207/label/",
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"max_seq_len": 512,
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"batch_size": 8,
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"pretrained_processor": NAME_LABEL,
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"kie_labels": KIE_LABELS,
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"device": DEVICE,
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}
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