| { | |
| "architectures": [ | |
| "MobileNetV2ForImageClassification" | |
| ], | |
| "classifier_dropout_prob": 0.8, | |
| "depth_divisible_by": 8, | |
| "depth_multiplier": 1.0, | |
| "expand_ratio": 6.0, | |
| "finegrained_output": true, | |
| "first_layer_is_expansion": true, | |
| "hidden_act": "relu6", | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3", | |
| "4": "LABEL_4" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3, | |
| "LABEL_4": 4 | |
| }, | |
| "layer_norm_eps": 0.001, | |
| "min_depth": 8, | |
| "model_type": "mobilenet_v2", | |
| "num_channels": 3, | |
| "output_stride": 32, | |
| "problem_type": "single_label_classification", | |
| "semantic_loss_ignore_index": 255, | |
| "tf_padding": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.2" | |
| } | |