End of training

README.md

@@ -14,10 +14,11 @@ 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: 0.5020
-- Validation Loss: 0.4878
-- Train Accuracy: 0.8125
-- Epoch: 9
+- Train Loss: 0.8652
+- Train Accuracy: 0.75
+- Validation Loss: 0.7771
+- Validation Accuracy: 0.75
+- Epoch: 5
 
 ## Model description
 
@@ -36,23 +37,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1920, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.05}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1600, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.05}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 1.0700     | 0.9871          | 0.5208         | 0     |
-| 0.9347     | 0.7458          | 0.7917         | 1     |
-| 0.8570     | 0.7546          | 0.6875         | 2     |
-| 0.7179     | 0.5846          | 0.75           | 3     |
-| 0.6272     | 0.6125          | 0.75           | 4     |
-| 0.5631     | 0.4566          | 0.8125         | 5     |
-| 0.5580     | 0.4655          | 0.7917         | 6     |
-| 0.5796     | 0.4462          | 0.8333         | 7     |
-| 0.4934     | 0.4899          | 0.8542         | 8     |
-| 0.5020     | 0.4878          | 0.8125         | 9     |
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.9228     | 0.7            | 0.9388          | 0.7000              | 0     |
+| 0.9711     | 0.775          | 0.8639          | 0.7750              | 1     |
+| 0.8841     | 0.825          | 0.8585          | 0.8250              | 2     |
+| 0.8757     | 0.65           | 0.8448          | 0.6500              | 3     |
+| 0.8802     | 0.75           | 0.7883          | 0.75                | 4     |
+| 0.8652     | 0.75           | 0.7771          | 0.75                | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6bebfdb94957f3cadc2a037c1abd5920238a490d5e2f6a6ed94bf61b70547e35
 size 343472824