End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: nvidia/mit-b0
 library_name: transformers
 license: other
+base_model: nvidia/mit-b0
 tags:
 - vision
 - image-segmentation
@@ -18,52 +18,57 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2090
-- Mean Iou: 0.5696
-- Mean Accuracy: 0.6654
-- Overall Accuracy: 0.9106
-- Accuracy Structure (dimensional): nan
-- Accuracy Impervious (planiform): 0.9401
-- Accuracy Fences: 0.0
-- Accuracy Water storage/tank: nan
-- Accuracy Pool < 100 sqft: nan
-- Accuracy Pool > 100 sqft: 0.9530
-- Accuracy Irrigated planiform: 0.8838
-- Accuracy Irrigated dimensional low: 0.8370
-- Accuracy Irrigated dimensional high: 0.9432
-- Accuracy Irrigated bare: 0.4234
-- Accuracy Irrigable planiform: 0.8112
-- Accuracy Irrigable dimensional low: 0.5718
-- Accuracy Irrigable dimensional high: 0.9410
-- Accuracy Irrigable bare: 0.7245
-- Accuracy Native planiform: nan
-- Accuracy Native dimensional low: 0.0
-- Accuracy Native dimensional high: 0.0
-- Accuracy Native bare: 0.9472
-- Accuracy Udl: nan
-- Accuracy Open water: 0.9967
-- Accuracy Artificial turf: 0.6743
-- Iou Structure (dimensional): 0.0
-- Iou Impervious (planiform): 0.8873
-- Iou Fences: 0.0
-- Iou Water storage/tank: nan
-- Iou Pool < 100 sqft: nan
-- Iou Pool > 100 sqft: 0.8999
-- Iou Irrigated planiform: 0.7859
-- Iou Irrigated dimensional low: 0.7122
-- Iou Irrigated dimensional high: 0.8937
-- Iou Irrigated bare: 0.3648
-- Iou Irrigable planiform: 0.7323
-- Iou Irrigable dimensional low: 0.4772
-- Iou Irrigable dimensional high: 0.8844
-- Iou Irrigable bare: 0.6417
-- Iou Native planiform: nan
-- Iou Native dimensional low: 0.0
-- Iou Native dimensional high: 0.0
-- Iou Native bare: 0.8356
-- Iou Udl: nan
-- Iou Open water: 0.9389
-- Iou Artificial turf: 0.6287
+- eval_loss: 0.2053
+- eval_mean_iou: 0.5448
+- eval_mean_accuracy: 0.6296
+- eval_overall_accuracy: 0.9130
+- eval_accuracy_Structure (dimensional): nan
+- eval_accuracy_Impervious (planiform): 0.9578
+- eval_accuracy_Fences: 0.3758
+- eval_accuracy_Water Storage/Tank: nan
+- eval_accuracy_Pool < 100 sqft: 0.0
+- eval_accuracy_Pool > 100 sqft: 0.8208
+- eval_accuracy_Irrigated Planiform: 0.8708
+- eval_accuracy_Irrigated Dimensional Low: 0.6817
+- eval_accuracy_Irrigated Dimensional High: 0.9472
+- eval_accuracy_Irrigated Bare: 0.4827
+- eval_accuracy_Irrigable Planiform: 0.6668
+- eval_accuracy_Irrigable Dimensional Low: 0.6013
+- eval_accuracy_Irrigable Dimensional High: 0.7902
+- eval_accuracy_Irrigable Bare: 0.5657
+- eval_accuracy_Native Planiform: 0.9093
+- eval_accuracy_Native Dimensional Low: 0.0
+- eval_accuracy_Native Dimensional High: 0.0961
+- eval_accuracy_Native Bare: 0.9332
+- eval_accuracy_UDL: nan
+- eval_accuracy_Open Water: 0.6613
+- eval_accuracy_Artificial Turf: 0.9720
+- eval_iou_Structure (dimensional): 0.0
+- eval_iou_Impervious (planiform): 0.8964
+- eval_iou_Fences: 0.3104
+- eval_iou_Water Storage/Tank: nan
+- eval_iou_Pool < 100 sqft: 0.0
+- eval_iou_Pool > 100 sqft: 0.8199
+- eval_iou_Irrigated Planiform: 0.7563
+- eval_iou_Irrigated Dimensional Low: 0.5480
+- eval_iou_Irrigated Dimensional High: 0.8920
+- eval_iou_Irrigated Bare: 0.4053
+- eval_iou_Irrigable Planiform: 0.6007
+- eval_iou_Irrigable Dimensional Low: 0.5083
+- eval_iou_Irrigable Dimensional High: 0.7595
+- eval_iou_Irrigable Bare: 0.5106
+- eval_iou_Native Planiform: 0.8678
+- eval_iou_Native Dimensional Low: 0.0
+- eval_iou_Native Dimensional High: 0.0961
+- eval_iou_Native Bare: 0.8293
+- eval_iou_UDL: nan
+- eval_iou_Open Water: 0.5929
+- eval_iou_Artificial Turf: 0.9584
+- eval_runtime: 6.2852
+- eval_samples_per_second: 15.91
+- eval_steps_per_second: 1.114
+- epoch: 10.8
+- step: 270
 
 ## Model description
 
@@ -90,13 +95,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 20
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Structure (dimensional) | Accuracy Impervious (planiform) | Accuracy Fences | Accuracy Water storage/tank | Accuracy Pool < 100 sqft | Accuracy Pool > 100 sqft | Accuracy Irrigated planiform | Accuracy Irrigated dimensional low | Accuracy Irrigated dimensional high | Accuracy Irrigated bare | Accuracy Irrigable planiform | Accuracy Irrigable dimensional low | Accuracy Irrigable dimensional high | Accuracy Irrigable bare | Accuracy Native planiform | Accuracy Native dimensional low | Accuracy Native dimensional high | Accuracy Native bare | Accuracy Udl | Accuracy Open water | Accuracy Artificial turf | Iou Structure (dimensional) | Iou Impervious (planiform) | Iou Fences | Iou Water storage/tank | Iou Pool < 100 sqft | Iou Pool > 100 sqft | Iou Irrigated planiform | Iou Irrigated dimensional low | Iou Irrigated dimensional high | Iou Irrigated bare | Iou Irrigable planiform | Iou Irrigable dimensional low | Iou Irrigable dimensional high | Iou Irrigable bare | Iou Native planiform | Iou Native dimensional low | Iou Native dimensional high | Iou Native bare | Iou Udl | Iou Open water | Iou Artificial turf |
-|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------------------:|:-------------------------------:|:---------------:|:---------------------------:|:------------------------:|:------------------------:|:----------------------------:|:----------------------------------:|:-----------------------------------:|:-----------------------:|:----------------------------:|:----------------------------------:|:-----------------------------------:|:-----------------------:|:-------------------------:|:-------------------------------:|:--------------------------------:|:--------------------:|:------------:|:-------------------:|:------------------------:|:---------------------------:|:--------------------------:|:----------:|:----------------------:|:-------------------:|:-------------------:|:-----------------------:|:-----------------------------:|:------------------------------:|:------------------:|:-----------------------:|:-----------------------------:|:------------------------------:|:------------------:|:--------------------:|:--------------------------:|:---------------------------:|:---------------:|:-------:|:--------------:|:-------------------:|
-| 0.2526        | 15.3846 | 200  | 0.2090          | 0.5696   | 0.6654        | 0.9106           | nan                              | 0.9401                          | 0.0             | nan                         | nan                      | 0.9530                   | 0.8838                       | 0.8370                             | 0.9432                              | 0.4234                  | 0.8112                       | 0.5718                             | 0.9410                              | 0.7245                  | nan                       | 0.0                             | 0.0                              | 0.9472               | nan          | 0.9967              | 0.6743                   | 0.0                         | 0.8873                     | 0.0        | nan                    | nan                 | 0.8999              | 0.7859                  | 0.7122                        | 0.8937                         | 0.3648             | 0.7323                  | 0.4772                        | 0.8844                         | 0.6417             | nan                  | 0.0                        | 0.0                         | 0.8356          | nan     | 0.9389         | 0.6287              |
-
-
 ### Framework versions
 
 - Transformers 4.44.2

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