Training in progress epoch 38

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: 0.0127
+- Train Loss: 0.0120
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1084
+- Validation Loss: 0.1087
 - Validation Accuracy: 0.9741
-- Validation Top-3-accuracy: 0.9935
-- Epoch: 37
+- Validation Top-3-accuracy: 0.9914
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.0141     | 1.0            | 1.0                  | 0.1088          | 0.9719              | 0.9914                    | 35    |
 | 0.0134     | 1.0            | 1.0                  | 0.1089          | 0.9762              | 0.9914                    | 36    |
 | 0.0127     | 1.0            | 1.0                  | 0.1084          | 0.9741              | 0.9935                    | 37    |
+| 0.0120     | 1.0            | 1.0                  | 0.1087          | 0.9741              | 0.9914                    | 38    |
 
 
 ### Framework versions

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

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tf_model.h5

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