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-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0706
-- Train Accuracy: 0.9762
-- Validation Loss: nan
-- Validation Accuracy: 0.0
+- Train Loss: 0.0274
+- Train Accuracy: 0.9914
+- Validation Loss: 0.3493
+- Validation Accuracy: 0.9303
 - Epoch: 2
 
 ## Model description
@@ -44,9 +44,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.2682     | 0.8875         | nan             | 0.0                 | 0     |
-| 0.1154     | 0.9599         | nan             | 0.0                 | 1     |
-| 0.0706     | 0.9762         | nan             | 0.0                 | 2     |
+| 0.0366     | 0.9885         | 0.3013          | 0.9299              | 0     |
+| 0.0261     | 0.9912         | 0.3445          | 0.9351              | 1     |
+| 0.0274     | 0.9914         | 0.3493          | 0.9303              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebf768b7ffab973ef31d9c494acf52358f8582b4f8dc40859c995dec0f427430
+oid sha256:dae3c843704662282c71502918acd6e46d2f12ac7cf8029c2499fb5697effdf3
 size 433535320