Training in progress epoch 2

README.md

@@ -16,11 +16,11 @@ 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: 0.4504
-- Train Accuracy: 0.8280
-- Validation Loss: 0.3723
-- Validation Accuracy: 0.8600
-- Epoch: 1
+- Train Loss: 0.3830
+- Train Accuracy: 0.8599
+- Validation Loss: 0.3341
+- Validation Accuracy: 0.8746
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.6102     | 0.7444         | 0.4452          | 0.8295              | 0     |
 | 0.4504     | 0.8280         | 0.3723          | 0.8600              | 1     |
+| 0.3830     | 0.8599         | 0.3341          | 0.8746              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:769240b6cce4bc61b6e473009bc1efd063786a0dcdaac2f356a261648c7414e5
+oid sha256:e014e552268e9855adb6f2c8c7809a128eb311c5427be173b903b509ebc8ab88
 size 438226204