Training in progress epoch 3

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: 0.3004
-- Train Accuracy: 0.9348
-- Train Top-3-accuracy: 0.9825
-- Validation Loss: 0.2985
-- Validation Accuracy: 0.9446
-- Validation Top-3-accuracy: 0.9855
-- Epoch: 2
+- Train Loss: 0.2351
+- Train Accuracy: 0.9514
+- Train Top-3-accuracy: 0.9875
+- Validation Loss: 0.2611
+- Validation Accuracy: 0.9570
+- Validation Top-3-accuracy: 0.9892
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.2723     | 0.6941         | 0.8604               | 0.6544          | 0.8643              | 0.9573                    | 0     |
 | 0.4646     | 0.9004         | 0.9707               | 0.4014          | 0.9216              | 0.9784                    | 1     |
 | 0.3004     | 0.9348         | 0.9825               | 0.2985          | 0.9446              | 0.9855                    | 2     |
+| 0.2351     | 0.9514         | 0.9875               | 0.2611          | 0.9570              | 0.9892                    | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1711493578.c42fd03cb531.8420.0.v2

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tf_model.h5

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