Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "google/deeplabv3_mobilenet_v2_1.0_513",
+  "architectures": [
+    "MobileNetV2ForSemanticSegmentation"
+  ],
+  "classifier_dropout_prob": 0.8,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "background",
+    "1": "lungs"
+  },
+  "image_size": 513,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 0,
+    "lungs": 1
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 8,
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0"
+}

pytorch_model.bin

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+size 10340733

training_args.bin

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