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: 0.0487
-- Mean Iou: 0.9291
-- Mean Accuracy: 0.9615
-- Overall Accuracy: 0.9690
-- Per Category Iou: [0.9478173031154268, 0.8765017220155236, 0.9631064806754523]
-- Per Category Accuracy: [0.971444459460258, 0.9273714595198245, 0.9855562026816395]
+- Loss: 0.0488
+- Mean Iou: 0.9289
+- Mean Accuracy: 0.9613
+- Overall Accuracy: 0.9689
+- Per Category Iou: [0.9484225100312303, 0.875795429449281, 0.9626254685949275]
+- Per Category Accuracy: [0.9725549195530643, 0.9263729934338871, 0.9850380570292713]
 
 ## 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                                       |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------:|:-----------------------------------------------------------:|
-| 0.107         | 1.0   | 1405 | 0.0487          | 0.9291   | 0.9615        | 0.9690           | [0.9478173031154268, 0.8765017220155236, 0.9631064806754523] | [0.971444459460258, 0.9273714595198245, 0.9855562026816395] |
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                            | Per Category Accuracy                                        |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-----------------------------------------------------------:|:------------------------------------------------------------:|
+| 0.1259        | 1.0   | 1405 | 0.0488          | 0.9289   | 0.9613        | 0.9689           | [0.9484225100312303, 0.875795429449281, 0.9626254685949275] | [0.9725549195530643, 0.9263729934338871, 0.9850380570292713] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 109447092