Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "openmmlab/upernet-convnext-small",
+  "architectures": [
+    "UperNetForSemanticSegmentation"
+  ],
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_in_channels": 384,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "backbone": null,
+  "backbone_config": {
+    "depths": [
+      3,
+      3,
+      27,
+      3
+    ],
+    "drop_path_rate": 0.0,
+    "hidden_act": "gelu",
+    "hidden_sizes": [
+      96,
+      192,
+      384,
+      768
+    ],
+    "image_size": 224,
+    "initializer_range": 0.02,
+    "layer_norm_eps": 1e-12,
+    "layer_scale_init_value": 1e-06,
+    "model_type": "convnext",
+    "num_stages": 4,
+    "out_features": [
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ],
+    "patch_size": 4
+  },
+  "hidden_size": 512,
+  "id2label": {
+    "0": "void",
+    "1": "Fruit",
+    "2": "Leaf",
+    "3": "Flower",
+    "4": "Stem"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Flower": 3,
+    "Fruit": 1,
+    "Leaf": 2,
+    "Stem": 4,
+    "void": 0
+  },
+  "loss_ignore_index": 255,
+  "model_type": "upernet",
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0.dev0",
+  "use_auxiliary_head": true,
+  "use_pretrained_backbone": false
+}

model.safetensors

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+size 327164296

training_args.bin

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