Training in progress epoch 12

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0990
-- Train Accuracy: 0.9881
-- Validation Loss: 1.4503
-- Validation Accuracy: 0.6349
-- Epoch: 10
+- Train Loss: 0.0655
+- Train Accuracy: 0.9934
+- Validation Loss: 1.4341
+- Validation Accuracy: 0.6720
+- Epoch: 12
 
 ## Model description
 
@@ -56,6 +56,8 @@ The following hyperparameters were used during training:
 | 0.1663     | 0.9814         | 1.5030          | 0.6455              | 8     |
 | 0.1302     | 0.9867         | 1.4468          | 0.6349              | 9     |
 | 0.0990     | 0.9881         | 1.4503          | 0.6349              | 10    |
+| 0.0812     | 0.9920         | 1.4135          | 0.6667              | 11    |
+| 0.0655     | 0.9934         | 1.4341          | 0.6720              | 12    |
 
 
 ### Framework versions

logsa/train/events.out.tfevents.1697913532.5521192874ed.32.3.v2

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logsa/validation/events.out.tfevents.1697913598.5521192874ed.32.4.v2

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tf_model.h5

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