Training in progress epoch 20

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6786
-- Validation Loss: 1.1051
-- Train Accuracy: 0.8933
-- Epoch: 10
+- Train Loss: 0.1321
+- Validation Loss: 0.6181
+- Train Accuracy: 0.9
+- Epoch: 20
 
 ## Model description
 
@@ -55,6 +55,16 @@ The following hyperparameters were used during training:
 | 1.1197     | 1.4349          | 0.8867         | 8     |
 | 0.8654     | 1.2351          | 0.8767         | 9     |
 | 0.6786     | 1.1051          | 0.8933         | 10    |
+| 0.5352     | 0.9739          | 0.8967         | 11    |
+| 0.4209     | 0.8814          | 0.8967         | 12    |
+| 0.3455     | 0.8079          | 0.8933         | 13    |
+| 0.2878     | 0.7635          | 0.8967         | 14    |
+| 0.2364     | 0.7142          | 0.9            | 15    |
+| 0.2115     | 0.6899          | 0.9            | 16    |
+| 0.1827     | 0.6554          | 0.9067         | 17    |
+| 0.1625     | 0.6388          | 0.8967         | 18    |
+| 0.1422     | 0.6158          | 0.9033         | 19    |
+| 0.1321     | 0.6181          | 0.9            | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b160d9269208715155f2aa3026ce65f19ebc064350ff316bd7f64dd04c6c1d0
+oid sha256:ec7b08f883d2ec35c638dca6f8234830003d319a0291a61963828c07e671d2a4
 size 1341734528