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: 0.1912
-- Validation Loss: 1.9964
-- Train Accuracy: 0.525
+- Train Loss: 1.8333
+- Validation Loss: 1.8126
+- Train Accuracy: 0.1875
 - 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': 0.0003, 'decay_steps': 64000, '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': 0.02}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, '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': 0.1}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.1689     | 1.9376          | 0.4938         | 0     |
-| 0.1400     | 2.4030          | 0.3812         | 1     |
-| 0.2878     | 1.7940          | 0.4625         | 2     |
-| 0.2105     | 2.0709          | 0.475          | 3     |
-| 0.1912     | 1.9964          | 0.525          | 4     |
+| 2.0313     | 1.7571          | 0.2875         | 0     |
+| 1.9371     | 1.9988          | 0.1812         | 1     |
+| 1.9355     | 1.8991          | 0.2062         | 2     |
+| 1.9041     | 1.6996          | 0.2875         | 3     |
+| 1.8333     | 1.8126          | 0.1875         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 343504568
+oid sha256:517bcf215739cf67ee39dd9fca7d7b02fa6da20159a078e3074838bd036663ed
+size 343488184