Training in progress, epoch 1

config.json

@@ -0,0 +1,46 @@
+{
+  "_name_or_path": "MBZUAI/swiftformer-xs",
+  "architectures": [
+    "SwiftFormerForImageClassification"
+  ],
+  "batch_norm_eps": 1e-05,
+  "depths": [
+    3,
+    3,
+    6,
+    4
+  ],
+  "down_pad": 1,
+  "down_patch_size": 3,
+  "down_stride": 2,
+  "downsamples": [
+    true,
+    true,
+    true,
+    true
+  ],
+  "drop_path_rate": 0.0,
+  "embed_dims": [
+    48,
+    56,
+    112,
+    220
+  ],
+  "hidden_act": "gelu",
+  "id2label": {
+    "0": "Normal",
+    "1": "Abnormal"
+  },
+  "label2id": {
+    "Abnormal": 1,
+    "Normal": 0
+  },
+  "layer_scale_init_value": 1e-05,
+  "mlp_ratio": 4,
+  "model_type": "swiftformer",
+  "num_channels": 3,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2",
+  "use_layer_scale": true
+}

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "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": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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+size 12267645

training_args.bin

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