Training in progress epoch 6

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: 0.3375
-- Train Accuracy: 0.9897
-- Train Top-3-accuracy: 0.9973
-- Validation Loss: 0.3975
-- Validation Accuracy: 0.9590
-- Validation Top-3-accuracy: 0.9892
-- Epoch: 5
+- Train Loss: 0.2554
+- Train Accuracy: 0.9966
+- Train Top-3-accuracy: 0.9992
+- Validation Loss: 0.3107
+- Validation Accuracy: 0.9676
+- Validation Top-3-accuracy: 0.9978
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.6816     | 0.9511         | 0.9859               | 0.6497          | 0.9222              | 0.9849                    | 3     |
 | 0.4698     | 0.9805         | 0.9939               | 0.5104          | 0.9395              | 0.9870                    | 4     |
 | 0.3375     | 0.9897         | 0.9973               | 0.3975          | 0.9590              | 0.9892                    | 5     |
+| 0.2554     | 0.9966         | 0.9992               | 0.3107          | 0.9676              | 0.9978                    | 6     |
 
 
 ### Framework versions

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

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

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tf_model.h5

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