End of training

README.md

@@ -14,8 +14,8 @@ 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: 2.1252
-- Validation Loss: 2.1257
+- Train Loss: 2.1318
+- Validation Loss: 2.1188
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.1196     | 2.1149          | 0     |
-| 2.1133     | 2.1161          | 1     |
-| 2.1280     | 2.1677          | 2     |
-| 2.1347     | 2.0980          | 3     |
-| 2.1157     | 2.1263          | 4     |
-| 2.1428     | 2.1269          | 5     |
-| 2.1259     | 2.1452          | 6     |
-| 2.1180     | 2.1446          | 7     |
-| 2.1338     | 2.1283          | 8     |
-| 2.1252     | 2.1257          | 9     |
+| 2.1211     | 2.1488          | 0     |
+| 2.1400     | 2.1489          | 1     |
+| 2.1339     | 2.1089          | 2     |
+| 2.1170     | 2.1293          | 3     |
+| 2.1438     | 2.1253          | 4     |
+| 2.1377     | 2.1554          | 5     |
+| 2.1308     | 2.1075          | 6     |
+| 2.1252     | 2.1396          | 7     |
+| 2.1216     | 2.1785          | 8     |
+| 2.1318     | 2.1188          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:900aaa4bfd1f2a8e6e992462b21cd3de6956f5f19754f908b9529af8d58695cf
+oid sha256:99ec7ae3e7e94fb498eed74ff5adadebbc7e65a68727651825ac78f981426a00
 size 533687680