Training in progress epoch 4

README.md

@@ -15,10 +15,10 @@ 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: 0.9167
-- Validation Loss: 0.8421
+- Train Loss: 0.8893
+- Validation Loss: 0.8320
 - Train Accuracy: 0.9286
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.0214     | 0.9784          | 0.7857         | 1     |
 | 0.9908     | 0.8723          | 0.8571         | 2     |
 | 0.9167     | 0.8421          | 0.9286         | 3     |
+| 0.8893     | 0.8320          | 0.9286         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:692986ba35ac437cc2f86e7edab092de58885a11f761e2060547657f848cec25
 size 438226204