add model

README.md

@@ -14,11 +14,11 @@ 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: 0.6428875
-- Train Accuracy: 0.59375
-- Validation Loss: 0.66635936
-- Validation Accuracy: 0.59375
-- Epoch: 4
+- Train Loss: 0.6892943
+- Train Accuracy: 0.5
+- Validation Loss: 0.6578982
+- Validation Accuracy: 0.625
+- Epoch: 1
 
 ## Model description
 
@@ -44,11 +44,8 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.7624767  | 0.375          | 0.6665354       | 0.6875              | 0     |
-| 0.67300403 | 0.625          | 0.6843579       | 0.59375             | 1     |
-| 0.6862932  | 0.46875        | 0.6493578       | 0.6875              | 2     |
-| 0.697248   | 0.4375         | 0.6587318       | 0.625               | 3     |
-| 0.6428875  | 0.59375        | 0.66635936      | 0.59375             | 4     |
+| 0.76886237 | 0.5            | 0.70852065      | 0.53125             | 0     |
+| 0.6892943  | 0.5            | 0.6578982       | 0.625               | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2a1d77607ddc1964e6f1d53f7ea36394cfaa2aeb0e34ce3bba3af9e9e4f062d8
+oid sha256:34605ce567c6ae94cf3e6616cf205e8bc59476c796b997ed32fc8719d3f37ced
 size 438223192