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: 2.2538
-- Validation Loss: 2.3057
+- Train Loss: 2.2968
+- Validation Loss: 2.4872
 - Train Accuracy: 0.0
 - 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': 20, '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': 55, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.4047     | 2.3646          | 0.0            | 0     |
-| 2.4417     | 2.3479          | 0.0            | 1     |
-| 2.3199     | 2.3326          | 0.0            | 2     |
-| 2.2081     | 2.3189          | 0.0            | 3     |
-| 2.2538     | 2.3057          | 0.0            | 4     |
+| 2.4382     | 2.4770          | 0.0            | 0     |
+| 2.3869     | 2.4797          | 0.0            | 1     |
+| 2.3422     | 2.4799          | 0.0            | 2     |
+| 2.3278     | 2.4825          | 0.0            | 3     |
+| 2.2968     | 2.4872          | 0.0            | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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+size 343513784