Model save

README.md

@@ -24,6 +24,9 @@ It achieves the following results on the evaluation set:
 - Precision: 0.8889
 - Recall: 0.8333
 - F1: 0.8333
+- F1 Macro: 0.8667
+- Precision Macro: 0.8889
+- Recall Macro: 0.8889
 
 ## Model description
 
@@ -53,11 +56,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 3    | 2.0686          | 0.6667   | 0.6667    | 0.6667 | 0.6667 |
-| No log        | 2.0   | 6    | 1.1956          | 0.8333   | 0.8889    | 0.8333 | 0.8333 |
-| No log        | 3.0   | 9    | 0.5003          | 0.8333   | 0.8889    | 0.8333 | 0.8333 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | F1 Macro | Precision Macro | Recall Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|:---------------:|:------------:|
+| No log        | 1.0   | 3    | 2.0686          | 0.6667   | 0.6667    | 0.6667 | 0.6667 | 0.7222   | 0.7222          | 0.7222       |
+| No log        | 2.0   | 6    | 1.1956          | 0.8333   | 0.8889    | 0.8333 | 0.8333 | 0.8667   | 0.8889          | 0.8889       |
+| No log        | 3.0   | 9    | 0.5003          | 0.8333   | 0.8889    | 0.8333 | 0.8333 | 0.8667   | 0.8889          | 0.8889       |
 
 
 ### Framework versions

logs/events.out.tfevents.1751994259.pkrvmbietmlfzoi.2484.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb23903b0d31af54e51be264bf67781e3bb31bbd20d8b26d00ecff3621db4d3e
-size 6278
+oid sha256:16d084e545ea2b82925f4b879bbb70434978db6fea4d9bc7b97682ede0a7c17d
+size 7253