Training in progress epoch 5

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: 0.1581
-- Validation Loss: 0.7234
-- Train Accuracy: 0.7795
-- Epoch: 4
+- Train Loss: 0.1104
+- Validation Loss: 0.8340
+- Train Accuracy: 0.7832
+- Epoch: 5
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.3382     | 0.5437          | 0.7960         | 2     |
 | 0.2327     | 0.6227          | 0.7878         | 3     |
 | 0.1581     | 0.7234          | 0.7795         | 4     |
+| 0.1104     | 0.8340          | 0.7832         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e74847e30f29610934bd9d47b26ae62ab6df6057ea3fe9aee53300d2cffbccc
+oid sha256:0907464b93e4ad5db6af0a6c11f2d32db47614140a71471e93dd1ee0e233cadf
 size 438226204