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: 0.3834
-- Train Accuracy: 0.9529
-- Validation Loss: 0.8941
-- Validation Accuracy: 0.4000
+- Train Loss: 0.5541
+- Train Accuracy: 0.9375
+- Validation Loss: 0.6546
+- Validation Accuracy: 1.0
 - Epoch: 1
 
 ## Model description
@@ -44,8 +44,8 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.5703     | 0.7824         | 0.7514          | 0.5333              | 0     |
-| 0.3834     | 0.9529         | 0.8941          | 0.4000              | 1     |
+| 0.6902     | 0.625          | 0.6677          | 1.0                 | 0     |
+| 0.5541     | 0.9375         | 0.6546          | 1.0                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21f516744793b4f2c8e5a9de6ef1b6b402d8f3d2b58e97154e917d382e72a633
+oid sha256:94844592b54d435f54310426f53a9c7d0d8161e6303a2c0377485cf71f3ff006
 size 438223192