| { | |
| "architectures": [ | |
| "ConvNextForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "depths": [ | |
| 3, | |
| 3, | |
| 9, | |
| 3 | |
| ], | |
| "drop_path_rate": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "hidden_sizes": [ | |
| 96, | |
| 192, | |
| 384, | |
| 768 | |
| ], | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3" | |
| }, | |
| "image_size": 512, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "layer_scale_init_value": 1e-06, | |
| "model_type": "convnext", | |
| "num_attention_heads": 12, | |
| "num_channels": 1, | |
| "num_hidden_layers": 12, | |
| "num_stages": 4, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.20.1" | |
| } | |