Training in progress epoch 0

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: 2
+- Epoch: 0
 
 ## Model description
 
@@ -48,8 +48,6 @@ 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     |
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 2     |
 
 
 ### Framework versions

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

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+size 1626713

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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7244014299e65e02c47d0be5783c726a3cb3524b3cdcd13f46b66a1fdcd4d6a6
+size 232