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config.json

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+{
+  "_name_or_path": "microsoft/focalnet-base",
+  "architectures": [
+    "FocalNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "focal_levels": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "focal_windows": [
+    3,
+    3,
+    3,
+    3
+  ],
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    192,
+    384,
+    768,
+    768
+  ],
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "layerscale_value": 0.0001,
+  "mlp_ratio": 4.0,
+  "model_type": "focalnet",
+  "normalize_modulator": false,
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_conv_embed": false,
+  "use_layerscale": false,
+  "use_post_layernorm": false,
+  "use_post_layernorm_in_modulation": false
+}

model.safetensors

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+size 348556636

optimizer_scheduler_state.pt

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+oid sha256:af50a0de0fdda174f615b277863878cc2a941d3881cd1b3fc9e21673bb444157
+size 697368334

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
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+size 4664