Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1215
-- Train Accuracy: 0.9992
-- Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1755
-- Validation Accuracy: 0.9806
-- Validation Top-3-accuracy: 1.0
-- Epoch: 10
+- Train Loss: 2.2742
+- Train Accuracy: 0.3856
+- Train Top-3-accuracy: 0.6522
+- Validation Loss: 1.8596
+- Validation Accuracy: 0.6112
+- Validation Top-3-accuracy: 0.8337
+- Epoch: 0
 
 ## Model description
 
@@ -47,17 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
-| 2.2723     | 0.4326         | 0.6338               | 1.8610          | 0.6501              | 0.8272                    | 0     |
-| 1.5881     | 0.6953         | 0.8557               | 1.3068          | 0.7775              | 0.9028                    | 1     |
-| 1.0582     | 0.8438         | 0.9538               | 0.9370          | 0.8726              | 0.9741                    | 2     |
-| 0.7165     | 0.9397         | 0.9851               | 0.6582          | 0.9330              | 0.9892                    | 3     |
-| 0.4898     | 0.9809         | 0.9935               | 0.4996          | 0.9568              | 0.9935                    | 4     |
-| 0.3515     | 0.9916         | 0.9985               | 0.3744          | 0.9698              | 0.9935                    | 5     |
-| 0.2645     | 0.9954         | 0.9996               | 0.3050          | 0.9806              | 0.9978                    | 6     |
-| 0.2084     | 0.9973         | 0.9996               | 0.2595          | 0.9827              | 0.9978                    | 7     |
-| 0.1702     | 0.9985         | 1.0                  | 0.2207          | 0.9827              | 0.9978                    | 8     |
-| 0.1426     | 0.9992         | 1.0                  | 0.1902          | 0.9849              | 0.9978                    | 9     |
-| 0.1215     | 0.9992         | 1.0                  | 0.1755          | 0.9806              | 1.0                       | 10    |
+| 2.2742     | 0.3856         | 0.6522               | 1.8596          | 0.6112              | 0.8337                    | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699744453.48cd21698220.35352.2.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28d948232e324cd2b2c4f8aa92daa89082559415a1eab7d580f5c0744c1a35bb
+size 3388344

logs/validation/events.out.tfevents.1699744990.48cd21698220.35352.3.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a664ddb3e9ed89a5ac3cf00250689817e5a94e36e4e125262127f87591a258c3
+size 565

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa98d58247591645c18655e66a2100436edaa91fa95444ab8a09689623e1a616
-size 343509688
+oid sha256:aac4276a4abdf76c343080f0ab1aacc65f3e8e977b8940912c9b30ef5b1058fb
+size 343526072