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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4594
-- Validation Loss: 0.4977
-- Train Accuracy: 0.8052
-- Train Precision: 0.8043
-- Train Recall: 0.8052
-- Train F1: 0.8046
-- Epoch: 1
+- Train Loss: 0.2943
+- Validation Loss: 0.5154
+- Train Accuracy: 0.8145
+- Train Precision: 0.8130
+- Train Recall: 0.8145
+- Train F1: 0.8123
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.7207     | 0.5929          | 0.7559         | 0.7512          | 0.7559       | 0.7520   | 0     |
 | 0.4594     | 0.4977          | 0.8052         | 0.8043          | 0.8052       | 0.8046   | 1     |
+| 0.2943     | 0.5154          | 0.8145         | 0.8130          | 0.8145       | 0.8123   | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716107924.ad51a5f53876.217.0.v2

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logs/validation/events.out.tfevents.1716108118.ad51a5f53876.217.1.v2

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