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: 0.3732
-- Validation Loss: 0.3524
-- Train Accuracy: 0.914
+- Train Loss: 0.8832
+- Validation Loss: 0.8080
+- Train Accuracy: 0.965
 - 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': 20000, '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': 4000, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.7660     | 1.5911          | 0.851          | 0     |
-| 1.2056     | 0.7954          | 0.904          | 1     |
-| 0.6604     | 0.4987          | 0.906          | 2     |
-| 0.4618     | 0.4260          | 0.902          | 3     |
-| 0.3732     | 0.3524          | 0.914          | 4     |
+| 3.3274     | 2.4030          | 0.715          | 0     |
+| 1.9821     | 1.6755          | 0.96           | 1     |
+| 1.4823     | 1.2900          | 0.96           | 2     |
+| 1.1250     | 1.0242          | 0.965          | 3     |
+| 0.8832     | 0.8080          | 0.965          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 343773880
+oid sha256:de34087057678b4026302830c52b44075e12de7c55ffcbbfa7a55e8c01534309
+size 343790264