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: 3.6575
-- Train Accuracy: 0.0902
-- Train Top-3-accuracy: 0.1945
-- Validation Loss: 3.1772
-- Validation Accuracy: 0.2028
-- Validation Top-3-accuracy: 0.3980
-- Epoch: 0
+- Train Loss: 0.2020
+- Train Accuracy: 0.9984
+- Train Top-3-accuracy: 0.9997
+- Validation Loss: 1.4297
+- Validation Accuracy: 0.6195
+- Validation Top-3-accuracy: 0.8298
+- Epoch: 11
 
 ## Model description
 
@@ -47,6 +47,17 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 3.6575     | 0.0902         | 0.1945               | 3.1772          | 0.2028              | 0.3980                    | 0     |
+| 2.5870     | 0.3473         | 0.6048               | 2.3845          | 0.3717              | 0.6208                    | 1     |
+| 1.8813     | 0.5553         | 0.7895               | 2.0262          | 0.4431              | 0.7196                    | 2     |
+| 1.4326     | 0.6815         | 0.8754               | 1.8856          | 0.4793              | 0.7384                    | 3     |
+| 1.0572     | 0.7989         | 0.9439               | 1.6570          | 0.5369              | 0.7960                    | 4     |
+| 0.7740     | 0.8838         | 0.9749               | 1.6103          | 0.5557              | 0.7960                    | 5     |
+| 0.5593     | 0.9417         | 0.9900               | 1.5303          | 0.5695              | 0.8173                    | 6     |
+| 0.4151     | 0.9709         | 0.9975               | 1.4939          | 0.5795              | 0.8185                    | 7     |
+| 0.3176     | 0.9884         | 0.9978               | 1.4553          | 0.5832              | 0.8248                    | 8     |
+| 0.2582     | 0.9950         | 0.9991               | 1.4500          | 0.6020              | 0.8248                    | 9     |
+| 0.2222     | 0.9978         | 0.9994               | 1.4315          | 0.6108              | 0.8310                    | 10    |
+| 0.2020     | 0.9984         | 0.9997               | 1.4297          | 0.6195              | 0.8298                    | 11    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662403988.d08d042d4ed2.3510.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f7cb21a1dab2ab23c243c8c1cd8a338c38c354e4b5a2c977f4811c63f518d85a
-size 3303671
+oid sha256:ed8ac47de6f648707b53a0b8da2f3a39b8e8ffcd55d9aead5dae376df785e89b
+size 3306916

logs/validation/events.out.tfevents.1662405258.d08d042d4ed2.3510.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:95875dfb66fb75f9f62a36206302feeef57aeccb62d641d91cb3aafca081b89e
-size 527
+oid sha256:f75c45f78b03705791d31925ea116653131676e7560701df3ffc2cad967ff0b2
+size 5983

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54a5e10a3e6819c1492f1334518970d476cbdff8ba6930138b4abf56c9946351
+oid sha256:a8fca1af6421bd01f9f5166a4aa4f63400b0cc037eebee76a8e8dcfa59964491
 size 344801056