End of training

README.md

@@ -15,10 +15,10 @@ 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: 1.8616
-- Validation Loss: 1.8972
-- Train Accuracy: 0.75
-- Epoch: 4
+- Train Loss: 0.7312
+- Validation Loss: 0.9257
+- Train Accuracy: 0.8
+- Epoch: 19
 
 ## Model description
 
@@ -37,18 +37,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1600, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.2788     | 2.2131          | 0.35           | 0     |
-| 2.1727     | 2.1498          | 0.5            | 1     |
-| 2.0635     | 2.0697          | 0.55           | 2     |
-| 1.9686     | 1.9893          | 0.55           | 3     |
-| 1.8616     | 1.8972          | 0.75           | 4     |
+| 2.2668     | 2.2081          | 0.4            | 0     |
+| 2.1502     | 2.1140          | 0.6            | 1     |
+| 2.0506     | 2.0350          | 0.65           | 2     |
+| 1.9473     | 1.9239          | 0.7            | 3     |
+| 1.8164     | 1.8355          | 0.7            | 4     |
+| 1.7091     | 1.7534          | 0.75           | 5     |
+| 1.6152     | 1.6683          | 0.8            | 6     |
+| 1.5122     | 1.5825          | 0.8            | 7     |
+| 1.4108     | 1.4897          | 0.8            | 8     |
+| 1.3225     | 1.4149          | 0.8            | 9     |
+| 1.2426     | 1.3135          | 0.8            | 10    |
+| 1.1740     | 1.2704          | 0.8            | 11    |
+| 1.0894     | 1.2213          | 0.85           | 12    |
+| 1.0230     | 1.1424          | 0.8            | 13    |
+| 0.9646     | 1.1171          | 0.85           | 14    |
+| 0.9109     | 1.0744          | 0.8            | 15    |
+| 0.8547     | 1.0376          | 0.85           | 16    |
+| 0.8082     | 0.9892          | 0.8            | 17    |
+| 0.7632     | 0.9604          | 0.85           | 18    |
+| 0.7312     | 0.9257          | 0.8            | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 343510712