Training in progress epoch 7

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: 0.3371
-- Train Accuracy: 0.9947
-- Train Top-3-accuracy: 0.9977
-- Validation Loss: 0.4194
-- Validation Accuracy: 0.9611
+- Train Loss: 0.2848
+- Train Accuracy: 0.9969
+- Train Top-3-accuracy: 0.9992
+- Validation Loss: 0.3786
+- Validation Accuracy: 0.9590
 - Validation Top-3-accuracy: 0.9892
-- Epoch: 6
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 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     |
 | 0.3371     | 0.9947         | 0.9977               | 0.4194          | 0.9611              | 0.9892                    | 6     |
+| 0.2848     | 0.9969         | 0.9992               | 0.3786          | 0.9590              | 0.9892                    | 7     |
 
 
 ### Framework versions

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

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logs/validation/events.out.tfevents.1699635312.ccc1bc92f64c.114159.2.v2

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tf_model.h5

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