Training in progress epoch 0

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: 0.2190
-- Train Accuracy: 0.9976
-- Validation Loss: 2.3992
-- Validation Accuracy: 0.5321
+- Train Loss: 0.1709
+- Train Accuracy: 0.9996
+- Validation Loss: 2.4652
+- Validation Accuracy: 0.5128
 - Epoch: 0
 
 ## Model description
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.2190     | 0.9976         | 2.3992          | 0.5321              | 0     |
+| 0.1709     | 0.9996         | 2.4652          | 0.5128              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25638b729c5c2938263e434bae7fd75676cf3ce18bc5527b67970aa4deefaad5
+oid sha256:75f7df6ae7c3fbe0d4680cb838a7530ae2357d8a90e5956b40bcd3dfd9fe0975
 size 438456904