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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: 1.0459
-- Validation Loss: 1.0613
-- Epoch: 1
+- Train Loss: 0.9775
+- Validation Loss: 1.0329
+- Epoch: 2
 
 ## Model description
 
@@ -34,15 +34,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- 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}
+- 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': True, '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 |
 |:----------:|:---------------:|:-----:|
-| 1.0820     | 1.0663          | 0     |
-| 1.0459     | 1.0613          | 1     |
+| 1.0466     | 1.0321          | 0     |
+| 1.0046     | 1.0296          | 1     |
+| 0.9775     | 1.0329          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f0eface4406bf40a6986fe6415c9a53dcd26cbdd2ccf902ec6b3803586755673
+oid sha256:ef9cf87ded1469cb70ea860f0e2a3028d5b2f1cf7f428758e0a6f436e92aa773
 size 370269264