Training in progress, epoch 0

config.json

@@ -1,27 +1,51 @@
 {
-  "_commit_hash": "bc15f29aa3a80d532f2ed650b5e16ac48d8958f9",
-  "_name_or_path": "Intel/dpt-large",
-  "add_projection": false,
+  "_name_or_path": "openmmlab/upernet-convnext-tiny",
   "architectures": [
-    "DPTForSemanticSegmentation"
+    "UperNetForSemanticSegmentation"
   ],
-  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_in_channels": 384,
   "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
   "backbone": null,
-  "backbone_config": null,
-  "backbone_featmap_shape": null,
+  "backbone_config": {
+    "depths": [
+      3,
+      3,
+      9,
+      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
+  },
   "backbone_kwargs": null,
-  "backbone_out_indices": [
-    5,
-    11,
-    17,
-    23
-  ],
-  "fusion_hidden_size": 256,
-  "head_in_index": -1,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.0,
-  "hidden_size": 1024,
+  "hidden_size": 512,
   "id2label": {
     "0": "unlabeled",
     "1": "flat-road",
@@ -59,10 +83,7 @@
     "33": "void-static",
     "34": "void-unclear"
   },
-  "image_size": 384,
   "initializer_range": 0.02,
-  "intermediate_size": 4096,
-  "is_hybrid": false,
   "label2id": {
     "construction-bridge": "22",
     "construction-building": "18",
@@ -100,35 +121,17 @@
     "void-static": "33",
     "void-unclear": "34"
   },
-  "layer_norm_eps": 1e-12,
-  "model_type": "dpt",
-  "neck_hidden_sizes": [
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-    512,
-    1024,
-    1024
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-  "neck_ignore_stages": [],
-  "num_attention_heads": 16,
-  "num_channels": 3,
-  "num_hidden_layers": 24,
-  "patch_size": 16,
-  "qkv_bias": true,
-  "readout_type": "project",
-  "reassemble_factors": [
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-    2,
+  "loss_ignore_index": 255,
+  "model_type": "upernet",
+  "pool_scales": [
     1,
-    0.5
+    2,
+    3,
+    6
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-  "semantic_classifier_dropout": 0.1,
-  "semantic_loss_ignore_index": 255,
   "torch_dtype": "float32",
-  "transformers_version": "4.18.0.dev0",
-  "use_autobackbone": false,
+  "transformers_version": "4.47.0.dev0",
   "use_auxiliary_head": true,
-  "use_batch_norm_in_fusion_residual": false,
-  "use_bias_in_fusion_residual": null,
   "use_pretrained_backbone": false,
   "use_timm_backbone": false
 }

model.safetensors

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preprocessor_config.json

@@ -1,26 +1,23 @@
 {
   "do_normalize": true,
-  "do_pad": false,
+  "do_reduce_labels": false,
   "do_rescale": true,
   "do_resize": true,
-  "ensure_multiple_of": 1,
   "image_mean": [
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+    0.485,
+    0.456,
+    0.406
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-  "image_processor_type": "DPTImageProcessor",
+  "image_processor_type": "SegformerImageProcessor",
   "image_std": [
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-    0.5,
-    0.5
+    0.229,
+    0.224,
+    0.225
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-  "keep_aspect_ratio": false,
   "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {
-    "height": 384,
-    "width": 384
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-  "size_divisor": null
+    "height": 512,
+    "width": 512
+  }
 }

runs/Nov30_13-51-36_769263f60571/events.out.tfevents.1732974708.769263f60571.5196.0

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training_args.bin

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