Model save

README.md

@@ -4,6 +4,11 @@ license: apache-2.0
 base_model: facebook/dinov2-small
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
 model-index:
 - name: dinov2_Liveness_detection_v2.2.2
   results: []
@@ -16,6 +21,12 @@ should probably proofread and complete it, then remove this comment. -->
 # dinov2_Liveness_detection_v2.2.2
 
 This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0289
+- Accuracy: 0.9916
+- F1: 0.9915
+- Recall: 0.9916
+- Precision: 0.9916
 
 ## Model description
 
@@ -43,6 +54,16 @@ The following hyperparameters were used during training:
 - num_epochs: 5
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.266         | 1.2190 | 128  | 0.1499          | 0.942    | 0.9424 | 0.942  | 0.9421    |
+| 0.0929        | 2.4381 | 256  | 0.1267          | 0.9574   | 0.9579 | 0.9574 | 0.9594    |
+| 0.0298        | 3.6571 | 384  | 0.0303          | 0.9888   | 0.9888 | 0.9888 | 0.9888    |
+| 0.0083        | 4.8762 | 512  | 0.0289          | 0.9916   | 0.9915 | 0.9916 | 0.9916    |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

model.safetensors

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runs/Jan15_01-24-36_a321c45b9f94/events.out.tfevents.1736904280.a321c45b9f94.21.0

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