End of training

README.md

@@ -15,9 +15,9 @@ 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: 1.5665
-- Validation Loss: 1.7403
-- Train Accuracy: 0.3875
+- Train Loss: 1.2507
+- Validation Loss: 1.5488
+- Train Accuracy: 0.4275
 - Epoch: 4
 
 ## Model description
@@ -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': 3200, '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': 32000, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.9945     | 1.9713          | 0.125          | 0     |
-| 1.8725     | 1.9375          | 0.15           | 1     |
-| 1.7818     | 1.8954          | 0.1625         | 2     |
-| 1.6958     | 1.8229          | 0.325          | 3     |
-| 1.5665     | 1.7403          | 0.3875         | 4     |
+| 1.7655     | 1.6490          | 0.4525         | 0     |
+| 1.5913     | 1.5925          | 0.4325         | 1     |
+| 1.4669     | 1.5805          | 0.4125         | 2     |
+| 1.3545     | 1.5728          | 0.405          | 3     |
+| 1.2507     | 1.5488          | 0.4275         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1695681429cfedced550a3ecf3108ea031876a1cb52a45750af87a6a7b944f6f
 size 343504568