NICOPOI-9
/

segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_60epochs

@@ -1,199 +1,84 @@
----
-library_name: transformers
-tags: []
----
-# Model Card for Model ID
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+---
+library_name: transformers
+license: other
+base_model: nvidia/mit-b3
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-morphpadver1-hgo-30-coord-v3_60epochs
+  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-morphpadver1-hgo-30-coord-v3_60epochs
+This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on the NICOPOI-9/morphpad_coord_hgo_30_30_512_4class dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5626
+- Mean Iou: 0.5820
+- Mean Accuracy: 0.7358
+- Overall Accuracy: 0.7358
+- Accuracy 0-0: 0.7456
+- Accuracy 0-90: 0.7128
+- Accuracy 90-0: 0.7363
+- Accuracy 90-90: 0.7484
+- Iou 0-0: 0.5840
+- Iou 0-90: 0.5781
+- Iou 90-0: 0.5720
+- Iou 90-90: 0.5939
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 60
+### Training results
+| Training Loss | Epoch   | Step  | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy 0-0 | Accuracy 0-90 | Accuracy 90-0 | Accuracy 90-90 | Iou 0-0 | Iou 0-90 | Iou 90-0 | Iou 90-90 |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|:-------------:|:----------------:|:------------:|:-------------:|:-------------:|:--------------:|:-------:|:--------:|:--------:|:---------:|
+| 1.2478        | 4.2105  | 4000  | 1.2564          | 0.2012   | 0.3564        | 0.3563           | 0.2794       | 0.7320        | 0.1626        | 0.2516         | 0.2015  | 0.2645   | 0.1424   | 0.1964    |
+| 1.1864        | 8.4211  | 8000  | 1.0945          | 0.2822   | 0.4420        | 0.4430           | 0.3826       | 0.4025        | 0.3519        | 0.6312         | 0.2902  | 0.2692   | 0.2660   | 0.3036    |
+| 0.9632        | 12.6316 | 12000 | 0.9682          | 0.3432   | 0.5103        | 0.5103           | 0.4745       | 0.4817        | 0.6326        | 0.4526         | 0.3457  | 0.3355   | 0.3377   | 0.3539    |
+| 1.0223        | 16.8421 | 16000 | 0.8653          | 0.4020   | 0.5689        | 0.5690           | 0.4846       | 0.7162        | 0.5767        | 0.4982         | 0.4109  | 0.3743   | 0.3890   | 0.4336    |
+| 0.7388        | 21.0526 | 20000 | 0.7888          | 0.4382   | 0.6064        | 0.6068           | 0.5402       | 0.6197        | 0.6163        | 0.6494         | 0.4767  | 0.4090   | 0.4268   | 0.4403    |
+| 0.7634        | 25.2632 | 24000 | 0.7226          | 0.4711   | 0.6404        | 0.6406           | 0.6547       | 0.6184        | 0.5925        | 0.6962         | 0.4872  | 0.4634   | 0.4606   | 0.4733    |
+| 0.6536        | 29.4737 | 28000 | 0.6801          | 0.4993   | 0.6654        | 0.6657           | 0.6463       | 0.6443        | 0.6653        | 0.7058         | 0.5182  | 0.4909   | 0.4806   | 0.5074    |
+| 0.6216        | 33.6842 | 32000 | 0.6512          | 0.5192   | 0.6821        | 0.6826           | 0.6793       | 0.6185        | 0.6460        | 0.7848         | 0.5362  | 0.5204   | 0.5184   | 0.5019    |
+| 0.6402        | 37.8947 | 36000 | 0.6295          | 0.5309   | 0.6932        | 0.6931           | 0.7050       | 0.7227        | 0.6512        | 0.6938         | 0.5298  | 0.5108   | 0.5348   | 0.5482    |
+| 0.7389        | 42.1053 | 40000 | 0.6110          | 0.5475   | 0.7076        | 0.7077           | 0.7126       | 0.6793        | 0.7010        | 0.7374         | 0.5522  | 0.5449   | 0.5321   | 0.5610    |
+| 0.6753        | 46.3158 | 44000 | 0.5858          | 0.5631   | 0.7203        | 0.7202           | 0.7338       | 0.6868        | 0.7393        | 0.7212         | 0.5700  | 0.5556   | 0.5437   | 0.5831    |
+| 0.4944        | 50.5263 | 48000 | 0.5762          | 0.5711   | 0.7264        | 0.7264           | 0.7266       | 0.6984        | 0.7537        | 0.7268         | 0.5827  | 0.5703   | 0.5430   | 0.5885    |
+| 0.4953        | 54.7368 | 52000 | 0.5676          | 0.5804   | 0.7337        | 0.7336           | 0.7532       | 0.6790        | 0.7716        | 0.7310         | 0.5759  | 0.5939   | 0.5535   | 0.5983    |
+| 0.4828        | 58.9474 | 56000 | 0.5626          | 0.5820   | 0.7358        | 0.7358           | 0.7456       | 0.7128        | 0.7363        | 0.7484         | 0.5840  | 0.5781   | 0.5720   | 0.5939    |
+### Framework versions
+- Transformers 4.48.3
+- Pytorch 2.1.0
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json ADDED Viewed

	@@ -0,0 +1,82 @@

+{
+  "_name_or_path": "nvidia/mit-b3",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
+    3,
+    4,
+    18,
+    3
+  ],
+  "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": "0-0",
+    "1": "0-90",
+    "2": "90-0",
+    "3": "90-90"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "0-0": 0,
+    "0-90": 1,
+    "90-0": 2,
+    "90-90": 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": "4.48.3"
+}

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