Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3527
-- Validation Loss: 0.0535
-- Validation Accuracy: 0.9826
-- Epoch: 1
+- Train Loss: 0.3145
+- Validation Loss: 0.0427
+- Validation Accuracy: 0.9870
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-------------------:|:-----:|
 | 0.4985     | 0.1121          | 0.9641              | 0     |
 | 0.3527     | 0.0535          | 0.9826              | 1     |
+| 0.3145     | 0.0427          | 0.9870              | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1659904967.datascience-1-0-ml-g4dn-16xlarge-0857614900e4015bb2bd851cec87.26549.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff0d7e9381717c629e135e386753e3e7b5e0d6011e27797194fb8a6a2f64d938
-size 3013634
+oid sha256:29ae3892abd7b9f76cf01a3937f0bd087928b2f7024be74cc9d99e90c471a5c1
+size 3013702

logs/validation/events.out.tfevents.1659906592.datascience-1-0-ml-g4dn-16xlarge-0857614900e4015bb2bd851cec87.26549.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35d345efb9ad4884b5e3f34b4d3c37f3a3df3860a9367ff3704b5bac47239768
-size 492
+oid sha256:682ca04b62311c965a0e8fe51669578d625dd08646e6ed61b2c6ebf125cf96d7
+size 720

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:328b076dacf94508e78c25af7af3ccbe5a955fed1748e6e650d782d5f9377d75
+oid sha256:5067c29dbb165a3c630a92d3a3d7b31f36e6795ce9d87bdc4b24eb2b2c261b16
 size 343493160