首页model_root=<MODEL_ROOT> data_path=<DATA_PATH> output_dir=<OUTPUT_DIR> # vtab-structured: dmlab # base_lr = 1.0 # lr = base_lr / 256 * cfg.DATA.BATCH_SIZE for seed in "42" "44" "82" "100" "800"; do python train.py \ --config-file configs/prompt/cub.yaml \ MODEL.TYPE "vit" \ DATA.BATCH_SIZE "64" \ MODEL.PROMPT.NUM_TOKENS "100" \ MODEL.PROMPT.DEEP "True" \ MODEL.PROMPT.DROPOUT "0.1" \ DATA.FEATURE "sup_vitb16_imagenet21k" \ DATA.NAME "vtab-dmlab" \ DATA.NUMBER_CLASSES "6" \ SOLVER.BASE_LR "0.25" \ SOLVER.WEIGHT_DECAY "0.001" \ SEED ${seed} \ MODEL.MODEL_ROOT "${model_root}" \ DATA.DATAPATH "${data_path}" \ OUTPUT_DIR "${output_dir}/seed${seed}" done

model_root=<MODEL_ROOT> data_path=<DATA_PATH> output_dir=<OUTPUT_DIR> # vtab-structured: dmlab # base_lr = 1.0 # lr = base_lr / 256 * cfg.DATA.BATCH_SIZE for seed in "42" "44" "82" "100" "800"; do python train.py \ --config-file configs/prompt/cub.yaml \ MODEL.TYPE "vit" \ DATA.BATCH_SIZE "64" \ MODEL.PROMPT.NUM_TOKENS "100" \ MODEL.PROMPT.DEEP "True" \ MODEL.PROMPT.DROPOUT "0.1" \ DATA.FEATURE "sup_vitb16_imagenet21k" \ DATA.NAME "vtab-dmlab" \ DATA.NUMBER_CLASSES "6" \ SOLVER.BASE_LR "0.25" \ SOLVER.WEIGHT_DECAY "0.001" \ SEED ${seed} \ MODEL.MODEL_ROOT "${model_root}" \ DATA.DATAPATH "${data_path}" \ OUTPUT_DIR "${output_dir}/seed${seed}" done

时间: 2023-06-25 19:02:57 浏览: 215

matlab.rar_Okumura model_hata_it_okumura_pathloss

The Hata Model is a radio propagation model for predicting the path loss of cellular transmissions in exterior environments, valid for microwave frequencies from 150 to 1500 MHz. It is an empirical formulation based on the data from the Okumura Model, and is thus also commonly referred to as the Okumura-Hata Model

这是一个训练模型的脚本，使用了 Vit 模型，数据集是 vtab-dmlab，使用了 configs/prompt/cub.yaml 配置文件。其中，每个种子（seed）都会进行一次训练，共训练了5次。其他参数包括 BATCH_SIZE，NUM_TOKENS，DEEP，DROPOUT，FEATURE，NUMBER_CLASSES，BASE_LR，WEIGHT_DECAY 等等。该脚本的作用是训练出一个能够对 vtab-dmlab 数据集进行分类的模型。

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