Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0980
-- Validation Loss: 0.1691
-- Train Accuracy: 0.9377
-- Epoch: 2
+- Train Loss: 0.0420
+- Validation Loss: 0.2158
+- Train Accuracy: 0.9348
+- Epoch: 4
 
 ## Model description
 
@@ -46,6 +46,8 @@ The following hyperparameters were used during training:
 | 0.3509     | 0.1830          | 0.9334         | 0     |
 | 0.1446     | 0.1676          | 0.9320         | 1     |
 | 0.0980     | 0.1691          | 0.9377         | 2     |
+| 0.0682     | 0.1938          | 0.9334         | 3     |
+| 0.0420     | 0.2158          | 0.9348         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d6fca436c5e0e12fd8737f9eb2066708192c65fa1b9161b937666eac449e9b3
+oid sha256:103e00130379038d6d4dcc8db674b999c43deede5081870d77ae89d3c3a82742
 size 498878336