Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "background",
+    "1": "ship",
+    "2": "small-vehicle",
+    "3": "tennis-court",
+    "4": "helicopter",
+    "5": "basketball-court",
+    "6": "ground-track-field",
+    "7": "swimming-pool",
+    "8": "harbor",
+    "9": "soccer-ball-field",
+    "10": "plane",
+    "11": "storage-tank",
+    "12": "baseball-diamond",
+    "13": "large-vehicle",
+    "14": "bridge",
+    "15": "roundabout"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": "0",
+    "baseball-diamond": "12",
+    "basketball-court": "5",
+    "bridge": "14",
+    "ground-track-field": "6",
+    "harbor": "8",
+    "helicopter": "4",
+    "large-vehicle": "13",
+    "plane": "10",
+    "roundabout": "15",
+    "ship": "1",
+    "small-vehicle": "2",
+    "soccer-ball-field": "9",
+    "storage-tank": "11",
+    "swimming-pool": "7",
+    "tennis-court": "3"
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0.dev0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

pytorch_model.bin

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+oid sha256:f7c8ee417ad8049b5a49a16bc1c6df1223e55f9ee6cc3ea49c3c621919bb8b65
+size 14946189

training_args.bin

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+size 4155