Training in progress epoch 25

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: 0.0284
+- Train Loss: 0.0264
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1144
-- Validation Accuracy: 0.9784
+- Validation Loss: 0.1143
+- Validation Accuracy: 0.9741
 - Validation Top-3-accuracy: 0.9957
-- Epoch: 24
+- Epoch: 25
 
 ## Model description
 
@@ -72,6 +72,7 @@ The following hyperparameters were used during training:
 | 0.0331     | 1.0            | 1.0                  | 0.1178          | 0.9762              | 0.9914                    | 22    |
 | 0.0306     | 1.0            | 1.0                  | 0.1162          | 0.9784              | 0.9957                    | 23    |
 | 0.0284     | 1.0            | 1.0                  | 0.1144          | 0.9784              | 0.9957                    | 24    |
+| 0.0264     | 1.0            | 1.0                  | 0.1143          | 0.9741              | 0.9957                    | 25    |
 
 
 ### Framework versions

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

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tf_model.h5

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