Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "microsoft/swin-large-patch4-window7-224-in22k",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 192,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "AmorfHead",
+    "1": "AsymmetricNeck",
+    "10": "RoundHead",
+    "11": "ShortTail",
+    "12": "TaperedHead",
+    "13": "ThickNeck",
+    "14": "ThinNeck",
+    "15": "TwistedNeck",
+    "16": "TwistedTail",
+    "17": "VacuolatedHead",
+    "2": "CurlyTail",
+    "3": "DoubleHead",
+    "4": "DoubleTail",
+    "5": "LongTail",
+    "6": "NarrowAcrosome",
+    "7": "Normal",
+    "8": "PinHead",
+    "9": "PyriformHead"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "AmorfHead": "0",
+    "AsymmetricNeck": "1",
+    "CurlyTail": "2",
+    "DoubleHead": "3",
+    "DoubleTail": "4",
+    "LongTail": "5",
+    "NarrowAcrosome": "6",
+    "Normal": "7",
+    "PinHead": "8",
+    "PyriformHead": "9",
+    "RoundHead": "10",
+    "ShortTail": "11",
+    "TaperedHead": "12",
+    "ThickNeck": "13",
+    "ThinNeck": "14",
+    "TwistedNeck": "15",
+    "TwistedTail": "16",
+    "VacuolatedHead": "17"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    6,
+    12,
+    24,
+    48
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.1",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 780711054

training_args.bin

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