End of training

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.7777
-- Train Accuracy: 0.0845
-- Train Top-3-accuracy: 0.1855
-- Validation Loss: 3.3754
-- Validation Accuracy: 0.1543
-- Validation Top-3-accuracy: 0.3014
-- Epoch: 0
+- Train Loss: 0.1742
+- Train Accuracy: 0.9982
+- Train Top-3-accuracy: 0.9997
+- Validation Loss: 1.5010
+- Validation Accuracy: 0.5746
+- Validation Top-3-accuracy: 0.8040
+- Epoch: 10
 
 ## Model description
 
@@ -47,6 +47,16 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 3.7777     | 0.0845         | 0.1855               | 3.3754          | 0.1543              | 0.3014                    | 0     |
+| 2.7253     | 0.3277         | 0.5560               | 2.4975          | 0.3452              | 0.5892                    | 1     |
+| 2.0079     | 0.5236         | 0.7589               | 2.1228          | 0.4234              | 0.6882                    | 2     |
+| 1.5256     | 0.6663         | 0.8549               | 1.9117          | 0.4734              | 0.7445                    | 3     |
+| 1.1602     | 0.7712         | 0.9270               | 1.8059          | 0.5162              | 0.7560                    | 4     |
+| 0.8509     | 0.8659         | 0.9614               | 1.6534          | 0.5516              | 0.7758                    | 5     |
+| 0.5955     | 0.9353         | 0.9836               | 1.6139          | 0.5610              | 0.7935                    | 6     |
+| 0.4229     | 0.9687         | 0.9940               | 1.5655          | 0.5631              | 0.7925                    | 7     |
+| 0.3045     | 0.9859         | 0.9979               | 1.5290          | 0.5714              | 0.7987                    | 8     |
+| 0.2221     | 0.9958         | 0.9990               | 1.5061          | 0.5954              | 0.8008                    | 9     |
+| 0.1742     | 0.9982         | 0.9997               | 1.5010          | 0.5746              | 0.8040                    | 10    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662459659.5b511ca16dda.79.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:023c80837a193b4c17315ecd6f1b1d8c5a2abf92f50c3e05d779f12fd1638dd5
-size 3266251
+oid sha256:ef1cb4a8f42f37bc10c10e69f8ebb7a6a2da7df086b9574f05b5a49982f7cf1d
+size 3269201

logs/validation/events.out.tfevents.1662461059.5b511ca16dda.79.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fe4bcf4bf9d6fd666737ec1f3f93c38c1e46a07dafbfe6e92716c6f5b79ef3fb
-size 527
+oid sha256:cc94302e0491c8c731ece980502a1b5a60269fb390000e07bb224ab7afd7d913
+size 5487

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:874a132cc5843006cf70015d9758579a9289aa04b442768a3fb0577a5faddb0b
+oid sha256:c24d94690b7464c424b018e6750e051cac82bb3b62a6fd361e4f64233e1c6186
 size 344815392