Training in progress epoch 49

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: 0.0075
+- Train Loss: 0.0072
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1102
-- Validation Accuracy: 0.9741
+- Validation Loss: 0.1111
+- Validation Accuracy: 0.9719
 - Validation Top-3-accuracy: 0.9914
-- Epoch: 48
+- Epoch: 49
 
 ## Model description
 
@@ -96,6 +96,7 @@ The following hyperparameters were used during training:
 | 0.0082     | 1.0            | 1.0                  | 0.1104          | 0.9719              | 0.9914                    | 46    |
 | 0.0079     | 1.0            | 1.0                  | 0.1107          | 0.9719              | 0.9914                    | 47    |
 | 0.0075     | 1.0            | 1.0                  | 0.1102          | 0.9741              | 0.9914                    | 48    |
+| 0.0072     | 1.0            | 1.0                  | 0.1111          | 0.9719              | 0.9914                    | 49    |
 
 
 ### 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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