eleninaneversmiles
/

segformer-b0-finetuned-segments-sidewalk-2

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----
-library_name: transformers
-tags: []
----
-# Model Card for Model ID
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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-segments-sidewalk-2
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# segformer-b0-finetuned-segments-sidewalk-2
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the eleninaneversmiles/wheels dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4771
+- Mean Iou: 0.4995
+- Mean Accuracy: 0.9990
+- Overall Accuracy: 0.9990
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 6e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|
+| 2.5955        | 4.0   | 20   | 2.9079          | 0.5000   | 0.9999        | 0.9999           |
+| 2.5186        | 8.0   | 40   | 2.4166          | 0.5000   | 0.9999        | 0.9999           |
+| 2.124         | 12.0  | 60   | 2.1256          | 0.4999   | 0.9998        | 0.9998           |
+| 2.0053        | 16.0  | 80   | 1.9401          | 0.4997   | 0.9994        | 0.9994           |
+| 1.7728        | 20.0  | 100  | 1.8506          | 0.4997   | 0.9994        | 0.9994           |
+| 1.6636        | 24.0  | 120  | 1.7917          | 0.4997   | 0.9994        | 0.9994           |
+| 1.5837        | 28.0  | 140  | 1.7133          | 0.4996   | 0.9993        | 0.9993           |
+| 1.6926        | 32.0  | 160  | 1.6387          | 0.4998   | 0.9995        | 0.9995           |
+| 1.6305        | 36.0  | 180  | 1.5724          | 0.4996   | 0.9992        | 0.9992           |
+| 1.4093        | 40.0  | 200  | 1.5139          | 0.4994   | 0.9987        | 0.9987           |
+| 1.5496        | 44.0  | 220  | 1.5050          | 0.4995   | 0.9991        | 0.9991           |
+| 1.3068        | 48.0  | 240  | 1.4771          | 0.4995   | 0.9990        | 0.9990           |
+### Framework versions
+- Transformers 4.41.2
+- Pytorch 2.3.1+cpu
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json ADDED Viewed

	@@ -0,0 +1,122 @@

+{
+  "_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": {
+    "1": 1,
+    "2": 1,
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+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "1": 47
+  },
+  "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": "4.41.2"
+}

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