Training in progress epoch 1

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: 1.3131
-- Validation Loss: 1.2899
-- Train Accuracy: 0.3832
-- Epoch: 0
+- Train Loss: 1.2676
+- Validation Loss: 1.2487
+- Train Accuracy: 0.3923
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3131     | 1.2899          | 0.3832         | 0     |
+| 1.2676     | 1.2487          | 0.3923         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17fa086d3757b2cbe532c13ec84dfb73eb15a0ac73f1b24f79249e8ad487d9aa
+oid sha256:2facc8484202b447790ff7383fdc3cd85468863240305b1f3270af2fdace54f2
 size 438229280