{ "architectures": [ "EfficientNetForImageClassification" ], "batch_norm_eps": 0.001, "batch_norm_momentum": 0.99, "depth_coefficient": 3.1, "depth_divisor": 8, "depthwise_padding": [], "drop_connect_rate": 0.2, "dropout_rate": 0.5, "expand_ratios": [ 1, 6, 6 ], "hidden_act": "gelu", "hidden_dim": 2560, "id2label": { "0": "LABEL_0", "1": "LABEL_1", "2": "LABEL_2", "3": "LABEL_3", "4": "LABEL_4", "5": "LABEL_5", "6": "LABEL_6", "7": "LABEL_7", "8": "LABEL_8", "9": "LABEL_9" }, "image_size": 600, "in_channels": [ 32, 16, 24 ], "initializer_range": 0.02, "kernel_sizes": [ 3, 3, 5 ], "label2id": { "LABEL_0": 0, "LABEL_1": 1, "LABEL_2": 2, "LABEL_3": 3, "LABEL_4": 4, "LABEL_5": 5, "LABEL_6": 6, "LABEL_7": 7, "LABEL_8": 8, "LABEL_9": 9 }, "model_type": "efficientnet", "num_block_repeats": [ 1, 1, 2 ], "num_channels": 3, "num_hidden_layers": 16, "out_channels": [ 16, 24, 40 ], "pooling_type": "mean", "squeeze_expansion_ratio": 0.25, "strides": [ 1, 1, 2 ], "torch_dtype": "float32", "transformers_version": "4.28.0.dev0", "width_coefficient": 2.0 }