End of training

README.md

@@ -15,8 +15,8 @@ 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: 0.2012
-- Validation Loss: 0.7821
+- Train Loss: 0.0822
+- Validation Loss: 0.6913
 - Train Accuracy: 0.5
 - Epoch: 4
 
@@ -37,18 +37,18 @@ 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': 890, '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': 1515, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6786     | 0.7558          | 0.5            | 0     |
-| 0.5386     | 0.8320          | 0.0            | 1     |
-| 0.4181     | 0.9427          | 0.0            | 2     |
-| 0.2926     | 0.9919          | 0.0            | 3     |
-| 0.2012     | 0.7821          | 0.5            | 4     |
+| 0.6312     | 0.7057          | 0.5            | 0     |
+| 0.4490     | 0.7302          | 0.5            | 1     |
+| 0.2669     | 0.8137          | 0.75           | 2     |
+| 0.1450     | 0.6267          | 0.5            | 3     |
+| 0.0822     | 0.6913          | 0.5            | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 343486136