Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ 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: 0.7269
-- Validation Loss: 0.8209
+- Train Loss: 0.6784
+- Validation Loss: 0.8048
 - Train Accuracy: 0.6119
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.7269     | 0.8209          | 0.6119         | 0     |
+| 0.6892     | 0.6686          | 0.6119         | 1     |
+| 0.6784     | 0.8048          | 0.6119         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c59a7214c684d54e4332f46944c487b870fc0394e04d967f17d180f94dc0ee99
+oid sha256:02684698e0fbb64334067bd862d7ac58a2680cbeb567409caf38cf2b3c01c303
 size 438223192