Training in progress epoch 0

README.md

@@ -19,11 +19,11 @@ 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 the mnist dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5080
-- Train Accuracy: 0.958
-- Validation Loss: 0.4289
-- Validation Accuracy: 0.9580
-- Epoch: 4
+- Train Loss: 2.0107
+- Train Accuracy: 0.8548
+- Validation Loss: 1.5288
+- Validation Accuracy: 0.8548
+- Epoch: 0
 
 ## Model description
 
@@ -42,18 +42,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': 1.0, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': 1.0, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 2.0110     | 0.8531         | 1.5291          | 0.8531              | 0     |
-| 1.3596     | 0.9151         | 0.9948          | 0.9151              | 1     |
-| 0.9608     | 0.9302         | 0.7593          | 0.9302              | 2     |
-| 0.6974     | 0.9448         | 0.5795          | 0.9448              | 3     |
-| 0.5080     | 0.958          | 0.4289          | 0.9580              | 4     |
+| 2.0107     | 0.8548         | 1.5288          | 0.8548              | 0     |
 
 
 ### Framework versions

tf_model.h5

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 size 343494328