End of training

README.md

@@ -15,11 +15,11 @@ 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: 0.9318
-- Mean Accuracy: 0.9627
+- Mean Iou: 0.9316
+- Mean Accuracy: 0.9624
 - Overall Accuracy: 0.9702
-- Per Category Iou: [0.9495813672432459, 0.8813317337391693, 0.9644023822119229]
-- Per Category Accuracy: [0.9727012766324794, 0.9289302189435307, 0.9865368010395725]
+- Per Category Iou: [0.9489463592815923, 0.8807403310059301, 0.9650686948898038]
+- Per Category Accuracy: [0.9718627711935148, 0.9278884306932264, 0.987556935702318]
 
 ## 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                                        |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------:|:------------------------------------------------------------:|
-| 0.055         | 1.0   | 2926 | 0.0450          | 0.9318   | 0.9627        | 0.9702           | [0.9495813672432459, 0.8813317337391693, 0.9644023822119229] | [0.9727012766324794, 0.9289302189435307, 0.9865368010395725] |
+| 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] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d005b31185949718145408a90acc2576263b7a2147c1f55414f5bdbcf73ff123
 size 384728188