Training in progress epoch 2

README.md

@@ -21,7 +21,7 @@ It achieves the following results on the evaluation set:
 - Train Recall: 0.0668
 - Train F1: 0.0389
 - Train Accuracy: 0.0566
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | nan        | nan             | 0.0275          | 0.0668       | 0.0389   | 0.0566         | 0     |
 | nan        | nan             | 0.0275          | 0.0668       | 0.0389   | 0.0566         | 1     |
+| nan        | nan             | 0.0275          | 0.0668       | 0.0389   | 0.0566         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1717654165.8a3e9ad428c6.2439.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0617c3e4b349eef22d72a63f0ab11ef7f6c0d6f883bf14d241ef3bb430b70764
-size 1648211
+oid sha256:d55358517d925fdf6265d8fdb930d9b793b3b01ec50bccbc335eb948f8adc15f
+size 1648560

logs/validation/events.out.tfevents.1717654329.8a3e9ad428c6.2439.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cc383ed87b701ed0865d640d6f67ee4553b558782a216d3f7bb6f1bf1f8887c
-size 388
+oid sha256:8ec37f4d9db986d56d8f7a6827983df0dbfbac9a4193572e0a17a5dd4e34d1df
+size 544