Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ 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: 0.0419
-- Validation Loss: 0.0433
-- Train Precision: 0.8160
-- Train Recall: 0.8499
-- Train F1: 0.8326
-- Train Accuracy: 0.9836
-- Epoch: 1
+- Train Loss: 0.0229
+- Validation Loss: 0.0465
+- Train Precision: 0.8265
+- Train Recall: 0.8702
+- Train F1: 0.8478
+- Train Accuracy: 0.9850
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1034     | 0.0641          | 0.6823          | 0.8230       | 0.7461   | 0.9751         | 0     |
 | 0.0419     | 0.0433          | 0.8160          | 0.8499       | 0.8326   | 0.9836         | 1     |
+| 0.0229     | 0.0465          | 0.8265          | 0.8702       | 0.8478   | 0.9850         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692553708.e05690eaa4a9.5018.0.v2

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tf_model.h5

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