Training in progress epoch 5

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: 0.5428
-- Train Accuracy: 0.9756
-- Train Top-3-accuracy: 0.9939
-- Validation Loss: 0.5831
-- Validation Accuracy: 0.9460
-- Validation Top-3-accuracy: 0.9849
-- Epoch: 4
+- Train Loss: 0.4169
+- Train Accuracy: 0.9901
+- Train Top-3-accuracy: 0.9977
+- Validation Loss: 0.4895
+- Validation Accuracy: 0.9525
+- Validation Top-3-accuracy: 0.9914
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 1.0494     | 0.8694         | 0.9519               | 0.9507          | 0.8855              | 0.9590                    | 2     |
 | 0.7408     | 0.9381         | 0.9824               | 0.7499          | 0.9114              | 0.9806                    | 3     |
 | 0.5428     | 0.9756         | 0.9939               | 0.5831          | 0.9460              | 0.9849                    | 4     |
+| 0.4169     | 0.9901         | 0.9977               | 0.4895          | 0.9525              | 0.9914                    | 5     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699634709.ccc1bc92f64c.114159.1.v2

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tf_model.h5

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