End of training

README.md

@@ -15,10 +15,10 @@ 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: 1.5656
-- Validation Loss: 1.7181
-- Train Accuracy: 0.8
-- Epoch: 4
+- Train Loss: 0.9353
+- Validation Loss: 1.0343
+- Train Accuracy: 0.8667
+- Epoch: 9
 
 ## Model description
 
@@ -37,23 +37,28 @@ 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': 840, '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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1680, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.2701     | 2.2679          | 0.1            | 0     |
-| 2.1066     | 2.1493          | 0.4            | 1     |
-| 1.9323     | 2.0279          | 0.6            | 2     |
-| 1.7463     | 1.8713          | 0.6667         | 3     |
-| 1.5656     | 1.7181          | 0.8            | 4     |
+| 2.2697     | 2.1984          | 0.4667         | 0     |
+| 2.1245     | 2.0728          | 0.6            | 1     |
+| 1.9780     | 1.9057          | 0.8            | 2     |
+| 1.8135     | 1.7702          | 0.8667         | 3     |
+| 1.6516     | 1.6121          | 0.8667         | 4     |
+| 1.4854     | 1.4733          | 0.8667         | 5     |
+| 1.3306     | 1.3294          | 0.8667         | 6     |
+| 1.1829     | 1.2269          | 0.8333         | 7     |
+| 1.0596     | 1.1176          | 0.8667         | 8     |
+| 0.9353     | 1.0343          | 0.8667         | 9     |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
-- TensorFlow 2.13.0
-- Datasets 2.14.3
+- TensorFlow 2.12.0
+- Datasets 2.14.4
 - Tokenizers 0.13.3

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31fc3058d526b7963ffda5c568157dc80935109fed134fd939d8a5a8df4a5e54
-size 343510712
+oid sha256:51b22dad4c7a34a4a719ed74d006353cefe04ebf477904e2583a7357135573a2
+size 343494328