Training in progress epoch 1

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: 0
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 0     |
+| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716801817.614cdbec4d16.1677.0.v2

@@ -1,3 +1,3 @@
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-size 1626713
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+size 1627062

logs/validation/events.out.tfevents.1716814890.614cdbec4d16.1677.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7244014299e65e02c47d0be5783c726a3cb3524b3cdcd13f46b66a1fdcd4d6a6
-size 232
+oid sha256:d795728358006b75acb7ec34c0c9869469e424d6993f6096e27f0044ef310af7
+size 388