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README.md

@@ -11,3 +11,27 @@ Link to the repository: https://github.com/Akrielz/vision_models_playground
 ## **Model**
 This model is a custom implementation of **ResNetYoloV1** from the ```vision_models_playground.models.segmentation.yolo_v1``` module.
 Please look in the config file for more information about the model architecture.
+
+## **Metrics**
+
+The model was evaluated on the following on the **YoloPascalVocDataset** from ```vision_models_playground.datasets.yolo_pascal_voc_dataset```  
+
+These are the results of the evaluation:  
+- MulticlassAccuracy: 0.7241  
+- MulticlassAveragePrecision: 0.7643  
+- MulticlassAUROC: 0.9684  
+- Dice: 0.7241  
+- MulticlassF1Score: 0.7241  
+- LossTracker: 4.1958  
+
+
+## **Additional Information**
+The train and evaluation runs are also saved using tensorboard. You can use the following command to visualize the runs:
+
+```bash
+tensorboard --logdir ./model
+```
+
+```bash
+tensorboard --logdir ./eval
+```

eval/events.out.tfevents.1688850071.Sputnik.3440727.0

@@ -0,0 +1,3 @@
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eval/report.md

@@ -0,0 +1,11 @@
+## **Metrics**
+
+The model was evaluated on the following on the **YoloPascalVocDataset** from ```vision_models_playground.datasets.yolo_pascal_voc_dataset```  
+
+These are the results of the evaluation:  
+- MulticlassAccuracy: 0.7241  
+- MulticlassAveragePrecision: 0.7643  
+- MulticlassAUROC: 0.9684  
+- Dice: 0.7241  
+- MulticlassF1Score: 0.7241  
+- LossTracker: 4.1958