End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2852
+- Loss: 3.0754
 - Accuracy: 0.4545
 
 ## Model description
@@ -44,15 +44,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 5.324         | 1.0   | 21   | 1.6904          | 0.4545   |
-| 2.7691        | 2.0   | 42   | 3.3614          | 0.4545   |
-| 3.0057        | 3.0   | 63   | 3.2852          | 0.4545   |
+| 5.6026        | 1.0   | 21   | 4.9823          | 0.4545   |
+| 3.7497        | 2.0   | 42   | 3.6049          | 0.4545   |
+| 3.1278        | 3.0   | 63   | 3.7326          | 0.4545   |
+| 2.4551        | 4.0   | 84   | 2.0051          | 0.4545   |
+| 2.3722        | 5.0   | 105  | 3.1027          | 0.4545   |
+| 2.3023        | 6.0   | 126  | 2.6815          | 0.4545   |
+| 2.8063        | 7.0   | 147  | 2.9446          | 0.4545   |
+| 2.2692        | 8.0   | 168  | 3.1585          | 0.4545   |
+| 2.545         | 9.0   | 189  | 2.8486          | 0.4545   |
+| 2.2706        | 10.0  | 210  | 3.0754          | 0.4545   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:949a0428570ed3180bad11f4ada17dce5885a18ad7502b23c5214cebe606c40b
+oid sha256:6d6c9050f8249d5eaa4d4d5e4da4c4a2e2195b0d3abf79315d49edff05aca92f
 size 88260908