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| 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) | |