add model

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.61621964
-- Train Accuracy: 0.69
-- Validation Loss: 0.5020415
-- Validation Accuracy: 0.77500004
+- Train Loss: 0.7210579
+- Train Accuracy: 0.5
+- Validation Loss: 0.6863412
+- Validation Accuracy: 0.54062504
 - Epoch: 1
 
 ## Model description
@@ -37,15 +37,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'clipnorm': 1.0, 'learning_rate': 0.00015, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'clipnorm': 1.0, 'learning_rate': 0.0003, 'decay': 0.0, '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 |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6982052  | 0.5275         | 0.65556544      | 0.63125             | 0     |
-| 0.61621964 | 0.69           | 0.5020415       | 0.77500004          | 1     |
+| 0.7117643  | 0.4796875      | 0.7163932       | 0.459375            | 0     |
+| 0.7210579  | 0.5            | 0.6863412       | 0.54062504          | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:da645d2134a9114ce308532f6fea22ea558704ee0d3e418cca6574c70b62643d
 size 438223192