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README.md

@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0598
-- Validation Loss: 1.0803
-- Epoch: 2
+- Train Loss: 1.0459
+- Validation Loss: 1.0613
+- Epoch: 1
 
 ## Model description
 
@@ -34,16 +34,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.99, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.99, 'epsilon': 1e-07, '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 | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.1289     | 1.1003          | 0     |
-| 1.0880     | 1.0893          | 1     |
-| 1.0598     | 1.0803          | 2     |
+| 1.0820     | 1.0663          | 0     |
+| 1.0459     | 1.0613          | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e1b874292da3cf071c99b02418f0c99df9c02f3e5cdea79225ac3d4ba8ffded
+oid sha256:f0eface4406bf40a6986fe6415c9a53dcd26cbdd2ccf902ec6b3803586755673
 size 370269264