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: 0.2467
-- Validation Loss: 0.3126
-- Train Accuracy: 0.91
-- Epoch: 7
+- Train Loss: 0.3727
+- Validation Loss: 0.3184
+- Train Accuracy: 0.918
+- Epoch: 4
 
 ## Model description
 
@@ -37,21 +37,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 32000, '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}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, '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 |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.7797     | 1.5957          | 0.847          | 0     |
-| 1.2120     | 0.8643          | 0.865          | 1     |
-| 0.7002     | 0.5026          | 0.914          | 2     |
-| 0.4838     | 0.3933          | 0.913          | 3     |
-| 0.3949     | 0.3889          | 0.898          | 4     |
-| 0.3269     | 0.3129          | 0.91           | 5     |
-| 0.2794     | 0.3278          | 0.909          | 6     |
-| 0.2467     | 0.3126          | 0.91           | 7     |
+| 2.7853     | 1.6126          | 0.846          | 0     |
+| 1.2297     | 0.8375          | 0.877          | 1     |
+| 0.7054     | 0.5339          | 0.892          | 2     |
+| 0.4911     | 0.3750          | 0.919          | 3     |
+| 0.3727     | 0.3184          | 0.918          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de48e2a1642be11cf9e3d5e0ac6f1ec7c830e04b343e792a07ddb421d6e43c86
+oid sha256:0303e22186b79a178018658c55976effae8cc7b46ead91ddaa3db57ce0b69f61
 size 343773880