Training in progress epoch 2

README.md

@@ -14,11 +14,11 @@ 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: 1.0990
-- Train Accuracy: 0.3370
+- Train Loss: 1.0996
+- Train Accuracy: 0.3631
 - Validation Loss: 1.0986
-- Validation Accuracy: 0.3823
-- Epoch: 1
+- Validation Accuracy: 0.3814
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 1.1128     | 0.3360         | 1.0986          | 0.3356              | 0     |
 | 1.0990     | 0.3370         | 1.0986          | 0.3823              | 1     |
+| 1.0996     | 0.3631         | 1.0986          | 0.3814              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f66f2bd23fe00e0a08542e9e923a3193e0861c4444c54ac01038271e3ff76208
+oid sha256:f169b0102af60ea41e5918b4ebcd6abd858650cca94477d686dfc66174bacbcd
 size 438226204