Model save

README.md

@@ -2,8 +2,6 @@
 license: other
 base_model: nvidia/segformer-b1-finetuned-cityscapes-1024-1024
 tags:
-- vision
-- image-segmentation
 - generated_from_trainer
 model-index:
 - name: segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test
@@ -15,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # segformer-b1-finetuned-cityscapes-1024-1024-straighter-only-test
 
-This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b1-finetuned-cityscapes-1024-1024) on the selvaa/straighter-only-final dataset.
+This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b1-finetuned-cityscapes-1024-1024) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0319
 - Mean Iou: 0.9378

model/config.json

@@ -0,0 +1,82 @@
+{
+  "_name_or_path": "nvidia/segformer-b1-finetuned-cityscapes-1024-1024",
+  "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": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "default",
+    "1": "pipe",
+    "2": "floor",
+    "3": "background"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 3,
+    "default": 0,
+    "floor": 2,
+    "pipe": 1
+  },
+  "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": "4.35.2"
+}

model/model.safetensors

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model/training_args.bin

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