End of training

README.md

@@ -14,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0450
-- Mean Iou: 0.9316
-- Mean Accuracy: 0.9624
-- Overall Accuracy: 0.9702
-- Per Category Iou: [0.9489463592815923, 0.8807403310059301, 0.9650686948898038]
-- Per Category Accuracy: [0.9718627711935148, 0.9278884306932264, 0.987556935702318]
+- Loss: 0.0457
+- Mean Iou: 0.9314
+- Mean Accuracy: 0.9625
+- Overall Accuracy: 0.9700
+- Per Category Iou: [0.9497062377163085, 0.8802809513495792, 0.9641774877316661]
+- Per Category Accuracy: [0.9736200067673931, 0.9277987418345082, 0.9860833650789692]
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                             | Per Category Accuracy                                       |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------:|:-----------------------------------------------------------:|
-| 0.0933        | 1.0   | 1405 | 0.0450          | 0.9316   | 0.9624        | 0.9702           | [0.9489463592815923, 0.8807403310059301, 0.9650686948898038] | [0.9718627711935148, 0.9278884306932264, 0.987556935702318] |
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                             | Per Category Accuracy                                        |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------:|:------------------------------------------------------------:|
+| 0.097         | 1.0   | 1405 | 0.0457          | 0.9314   | 0.9625        | 0.9700           | [0.9497062377163085, 0.8802809513495792, 0.9641774877316661] | [0.9736200067673931, 0.9277987418345082, 0.9860833650789692] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b25adecf79fc2ab54ccd4e0443a668e1d5380d60c3c1b8b399677f3d03f8e6f4
 size 384728188