Training in progress epoch 2

README.md

@@ -21,7 +21,7 @@ It achieves the following results on the evaluation set:
 - Train Recall: 0.0384
 - Train F1: 0.0250
 - Train Accuracy: 0.0354
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 0     |
 | nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 1     |
+| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716874306.5781620275a3.219.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d13bfb3339c574c17fdcdcd7c7a84ed0a8e50fec96113445aba4a9507012a49d
-size 1627062
+oid sha256:c701385afdfd5408b5284163529f56839e9fa419dc3cec49d73525189dd5ad76
+size 1627411

logs/validation/events.out.tfevents.1716876747.5781620275a3.219.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:afd8c85625e79f06e27e44adfa62520739247268c03bb5290bf5195957ab28d6
-size 388
+oid sha256:8780e4a48a3f46f8271c413022cdee77c3a1011c5a006c40333bf23c7326efc4
+size 544