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2d48951 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | import os
import torch
class ArgsConfig:
def __init__(self) -> None:
self.batch_size = 192
self.embedding_size = 480
self.epochs = 100
self.kflod = 5
self.max_len = 51
self.lr = 1.8e-3
self.weight_decay = 0
self.dropout = 0.6
self.ctl = False
self.margin = 2.8
self.scale_factor = 1
self.training_ratio = 1.1
self.model_name = 'DeepMFPP-MFTP'
self.loss_fn_name = 'MLFDL'
self.exp_nums = None
self.aa_dict = 'esm' # 'protbert' /'esm'/ None
self.class_weight = False
# self.lr_step_size = 250
# self.lr_milestones = [20,60,120,180,240]
# self.lr_gamma = 0.75
self.fldl_clip_pos = 0.7
self.fldl_clip_neg = 0.5
self.fldl_pos_weight = 0.4
self.info = f"FDL{0.7,0.5,0.3},CosLR,cw={self.class_weight}" #对当前训练做的补充说明
# self.data_dir = './data/AllData.txt'
# self.train_data_dir = './data/MFTP-Data/train.txt' # MLBP-Data/train.txt MFTP-Data/train.txt
# self.test_data_dir = './data/MFTP-Data/test.txt' # MLBP-Data/test.txt MFTP-Data/test.txt
# MLBP-Data/train_0.5_min-2_maj-1.txt
# MFTP-Data/traindata_da/train_rs_2.txt
# self.train_data_da_dir = './data/MFTP-Data/traindata_da/train_rs_2.txt'
# self.ebv_dir = './eq_21_21.pkl'
self.use_ebv = False
# self.log_dir = './result/logs'
# self.save_dir = './result/model_para'
# self.tensorboard_log_dir = './tensorboard'
self.ems_path = './DeepMFPP/ESM2/esm2_t12_35M_UR50D.pt'
self.esm_layer_idx = 12
# self.save_para_dir = os.path.join(self.save_dir,self.model_name)
self.random_seed = 2023
self.num_classes = 21
self.split_size = 0.8
# self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
self.device = torch.device("cpu")
self.continue_training = False
# self.checkpoint_path = r'result\model_para\CNN_BIGRU_test1\1.pth'
# if not os.path.exists(self.log_dir):
# os.mkdir(self.log_dir)
# if not os.path.exists(self.save_dir):
# os.mkdir(self.save_dir)
# if not os.path.exists(self.save_para_dir):
# os.mkdir(self.save_para_dir)
# if not os.path.exists(self.tensorboard_log_dir):
# os.mkdir(self.tensorboard_log_dir)
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