Training in progress epoch 0

README.md

@@ -14,11 +14,11 @@ 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: 0.2761
-- Train Accuracy: 0.9210
+- Train Loss: 0.1624
+- Train Accuracy: 0.9544
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0867
-- Validation Accuracy: 0.9866
+- Validation Loss: 0.0380
+- Validation Accuracy: 0.9933
 - Validation Top-3-accuracy: 1.0
 - Epoch: 0
 
@@ -39,14 +39,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1125, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 4485, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
-| 0.2761     | 0.9210         | 1.0                  | 0.0867          | 0.9866              | 1.0                       | 0     |
+| 0.1624     | 0.9544         | 1.0                  | 0.0380          | 0.9933              | 1.0                       | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1689360443.53e3470a3316.14890.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ec06324718648f5b28d922ce300ad0971520e608a63dd74959bc702c118cd41
+size 78

logs/train/events.out.tfevents.1689363756.53e3470a3316.28072.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ffe4dcef309ef9febe2fdc16006c32187cecce17435cb48d712dd93a2f7202e
+size 3307558

logs/validation/events.out.tfevents.1689364035.53e3470a3316.28072.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea82efa48cd437328b8de06766c20caef3fe69ad42a2f717f33cc3aef46e7476
+size 568

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c29372a5aa991073a110a4413200ccf28ffa1836c3945c30fdb728d01f8391af
+oid sha256:f084b15e48ea3798036ec8fa634390dc8858d3add0888d176698bc5500156d90
 size 343469752