aditnnda
/

felidae_klasifikasi

@@ -15,11 +15,11 @@ 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: 0.9213
-- Train Accuracy: 0.7869
-- Validation Loss: 0.8231
-- Validation Accuracy: 0.7869
-- Epoch: 9
 ## Model description
@@ -38,23 +38,33 @@ 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': 1820, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 1.6070     | 0.3770         | 1.5670          | 0.3770              | 0     |
-| 1.5299     | 0.6557         | 1.4816          | 0.6557              | 1     |
-| 1.4347     | 0.6066         | 1.3838          | 0.6066              | 2     |
-| 1.3535     | 0.6885         | 1.2822          | 0.6885              | 3     |
-| 1.2562     | 0.6885         | 1.1766          | 0.6885              | 4     |
-| 1.1829     | 0.7705         | 1.0732          | 0.7705              | 5     |
-| 1.1037     | 0.8033         | 0.9889          | 0.8033              | 6     |
-| 1.0444     | 0.8525         | 0.9204          | 0.8525              | 7     |
-| 0.9640     | 0.8197         | 0.8722          | 0.8197              | 8     |
-| 0.9213     | 0.7869         | 0.8231          | 0.7869              | 9     |
 ### Framework versions

 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: 0.5782
+- Train Accuracy: 0.8361
+- Validation Loss: 0.5283
+- Validation Accuracy: 0.8361
+- Epoch: 19
 ## Model description
 ### 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': 3640, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 1.5945     | 0.5574         | 1.5482          | 0.5574              | 0     |
+| 1.5213     | 0.7541         | 1.4625          | 0.7541              | 1     |
+| 1.4429     | 0.7049         | 1.3574          | 0.7049              | 2     |
+| 1.3399     | 0.7869         | 1.2390          | 0.7869              | 3     |
+| 1.2264     | 0.6721         | 1.1328          | 0.6721              | 4     |
+| 1.1660     | 0.7869         | 1.0287          | 0.7869              | 5     |
+| 1.0825     | 0.7377         | 0.9690          | 0.7377              | 6     |
+| 1.0005     | 0.8197         | 0.8654          | 0.8197              | 7     |
+| 0.9121     | 0.7869         | 0.8303          | 0.7869              | 8     |
+| 0.8530     | 0.8525         | 0.7590          | 0.8525              | 9     |
+| 0.8602     | 0.8361         | 0.7169          | 0.8361              | 10    |
+| 0.8420     | 0.8197         | 0.6993          | 0.8197              | 11    |
+| 0.7772     | 0.8689         | 0.6347          | 0.8689              | 12    |
+| 0.7447     | 0.8689         | 0.6023          | 0.8689              | 13    |
+| 0.7253     | 0.8197         | 0.6458          | 0.8197              | 14    |
+| 0.6994     | 0.8361         | 0.6045          | 0.8361              | 15    |
+| 0.6761     | 0.8361         | 0.6030          | 0.8361              | 16    |
+| 0.5814     | 0.8197         | 0.5523          | 0.8197              | 17    |
+| 0.5939     | 0.8689         | 0.5456          | 0.8689              | 18    |
+| 0.5782     | 0.8361         | 0.5283          | 0.8361              | 19    |
 ### Framework versions

tf_model.h5 CHANGED Viewed

@@ -1,3 +1,3 @@
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