{ | |
"_fusion_activation": "nn.Tanh()", | |
"_fusion_method": "torch.mul", | |
"channels": 12, | |
"class_names": [ | |
"0", | |
"1", | |
"2", | |
"3", | |
"4", | |
"5", | |
"6", | |
"7", | |
"8", | |
"9", | |
"10", | |
"11", | |
"12", | |
"13", | |
"14", | |
"15", | |
"16", | |
"17", | |
"18" | |
], | |
"classes": 19, | |
"custom_fusion_activation": null, | |
"custom_fusion_method": null, | |
"drop_path_rate": 0.15, | |
"drop_rate": 0.15, | |
"fusion_dropout_rate": 0.25, | |
"fusion_hidden": 256, | |
"fusion_in": 512, | |
"fusion_out": 512, | |
"hf_model_name": null, | |
"image_size": 120, | |
"load_pretrained_hf_if_available": true, | |
"load_pretrained_timm_if_available": false, | |
"max_sequence_length": 32, | |
"network_type": 0, | |
"t_dropout_rate": 0.25, | |
"timm_model_name": "mobilevit_s", | |
"use_pooler_output": true, | |
"v_dropout_rate": 0.25, | |
"visual_features_out": 512 | |
} |