from .. import config as C from ..config import Config experiments = { "example-training": [ Config( backbone=C.Backbone.CLIP_L_14, head=C.Head.Linear, unfreeze_layers=["pre_layrnorm", "layer_norm1", "layer_norm2", "post_layernorm"], loss=C.Loss(ce_labels=1.0), run_dir="runs/example", trn_files=[ "config/datasets/FF/test/DF.txt", "config/datasets/FF/test/F2F.txt", "config/datasets/FF/test/FS.txt", "config/datasets/FF/test/NT.txt", "config/datasets/FF/test/real.txt", ], val_files=[ "config/datasets/FF/test/DF.txt", "config/datasets/FF/test/F2F.txt", "config/datasets/FF/test/FS.txt", "config/datasets/FF/test/NT.txt", "config/datasets/FF/test/real.txt", ], tst_files=[ "config/datasets/CDFv2/test/Celeb-real.txt", "config/datasets/CDFv2/test/Celeb-synthesis.txt", "config/datasets/CDFv2/test/YouTube-real.txt", ], batch_size=2, mini_batch_size=2, max_epochs=1, wandb=False, devices=[0], ) ], "example-test": [ Config( run_dir="runs/test", tst_files=[ "config/datasets/CDFv2/test/Celeb-real.txt", "config/datasets/CDFv2/test/Celeb-synthesis.txt", "config/datasets/CDFv2/test/YouTube-real.txt", ], batch_size=128, mini_batch_size=128, wandb=False, devices=[0], ) ], "GenD_CLIP--CDFv2-example": [ Config( run_dir="runs/test", tst_files=[ "config/datasets/CDFv2/test/Celeb-real.txt", "config/datasets/CDFv2/test/Celeb-synthesis.txt", "config/datasets/CDFv2/test/YouTube-real.txt", ], checkpoint="yermandy/GenD_CLIP_L_14", max_epochs=1, wandb=False, devices=[0], ) ], "GenD_PE--CDFv2-example": [ Config( run_dir="runs/test", tst_files=[ "config/datasets/CDFv2/test/Celeb-real.txt", "config/datasets/CDFv2/test/Celeb-synthesis.txt", "config/datasets/CDFv2/test/YouTube-real.txt", ], checkpoint="yermandy/GenD_PE_L", max_epochs=1, wandb=False, devices=[0], ) ], "GenD_DINO--CDFv2-example": [ Config( run_dir="runs/test", tst_files=[ "config/datasets/CDFv2/test/Celeb-real.txt", "config/datasets/CDFv2/test/Celeb-synthesis.txt", "config/datasets/CDFv2/test/YouTube-real.txt", ], checkpoint="yermandy/GenD_DINOv3_L", max_epochs=1, wandb=False, devices=[0], ) ], }