Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [indobenchmark/indobert-lite-base-p1](https://huggingface.co/indobenchmark/indobert-lite-base-p1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3637
-- Validation Loss: 0.4479
-- Train Accuracy: 0.8174
-- Epoch: 2
+- Train Loss: 0.2570
+- Validation Loss: 0.4593
+- Train Accuracy: 0.8191
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.8164     | 0.5814          | 0.7478         | 0     |
 | 0.5053     | 0.4751          | 0.8243         | 1     |
 | 0.3637     | 0.4479          | 0.8174         | 2     |
+| 0.2570     | 0.4593          | 0.8191         | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720519276.e311a4dd7402.587.0.v2

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logs/validation/events.out.tfevents.1720519408.e311a4dd7402.587.1.v2

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tf_model.h5

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