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: 0.61265177
-- Train Accuracy: 0.6825
-- Validation Loss: 0.4822715
-- Validation Accuracy: 0.79375
+- Train Loss: 0.61621964
+- Train Accuracy: 0.69
+- Validation Loss: 0.5020415
+- Validation Accuracy: 0.77500004
 - Epoch: 1
 
 ## Model description
@@ -44,8 +44,8 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.7002671  | 0.49375        | 0.66588074      | 0.56875             | 0     |
-| 0.61265177 | 0.6825         | 0.4822715       | 0.79375             | 1     |
+| 0.6982052  | 0.5275         | 0.65556544      | 0.63125             | 0     |
+| 0.61621964 | 0.69           | 0.5020415       | 0.77500004          | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed9b96ef462701087499fb8acae217b209e1868e78744ba1a97feddcfbb815f0
+oid sha256:3c590024f8ee744a0a6129b417f8dcf143d44adaef93d5e6db39c2999f5e5280
 size 438223192