End of training

README.md

@@ -14,6 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
 # segmentation
 
 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: -0.9095
+- Mean Iou: 0.2514
+- Mean Accuracy: 1.0
+- Overall Accuracy: 1.0
+- Per Category Iou: [0.25135050741608117]
+- Per Category Accuracy: [1.0]
 
 ## Model description
 
@@ -42,6 +49,13 @@ 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------------:|:---------------------:|
+| -0.906        | 0.1905 | 20   | -0.5145         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
+| -1.2793       | 0.3810 | 40   | -0.7514         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
+| -3.2567       | 0.5714 | 60   | -0.9282         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
+| -3.8327       | 0.7619 | 80   | -0.9024         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
+| -2.1622       | 0.9524 | 100  | -0.9095         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
 
 
 ### Framework versions

model.safetensors

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+oid sha256:2a8cd8191fe6446d334dabcd79cb0de020cb1205a5f63a8ff4cbf7acaa382d86
 size 14883748

runs/Jun26_10-20-33_ISLEM/events.out.tfevents.1719393634.ISLEM.17420.2

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 version https://git-lfs.github.com/spec/v1
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