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: 0.6843
-- Train Accuracy: 0.6366
-- Validation Loss: 0.6534
+- Train Loss: 0.6702
+- Train Accuracy: 0.6437
+- Validation Loss: 0.6755
 - Validation Accuracy: 0.6838
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.6884     | 0.6287         | 0.6541          | 0.6838              | 0     |
 | 0.6843     | 0.6366         | 0.6534          | 0.6838              | 1     |
+| 0.6702     | 0.6437         | 0.6755          | 0.6838              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6bd3e31301c3d1648c343891c8757b7caaa68da73c24bc51e661a674b6b6e68
+oid sha256:044810a5eae50d0c51ddfcf6cd5639892c0ad5d5a6c8cb408a4dea823b7f0cc3
 size 438223128