End of training

README.md

@@ -13,13 +13,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9268
-- Validation Loss: 0.9242
-- Train Precision: 0.3381
-- Train Recall: 0.3595
-- Train F1: 0.3485
-- Train Accuracy: 0.7689
-- Epoch: 8
+- Train Loss: 0.9093
+- Validation Loss: 0.9177
+- Train Precision: 0.3439
+- Train Recall: 0.3697
+- Train F1: 0.3563
+- Train Accuracy: 0.7697
+- Epoch: 9
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 1.0077     | 0.9782          | 0.3151          | 0.3135       | 0.3143   | 0.7553         | 6     |
 | 0.9582     | 0.9437          | 0.3254          | 0.3492       | 0.3369   | 0.7661         | 7     |
 | 0.9268     | 0.9242          | 0.3381          | 0.3595       | 0.3485   | 0.7689         | 8     |
+| 0.9093     | 0.9177          | 0.3439          | 0.3697       | 0.3563   | 0.7697         | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1661442665.1a16df506db2.17.0.v2

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logs/validation/events.out.tfevents.1661442680.1a16df506db2.17.1.v2

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tf_model.h5

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