Training in progress epoch 1

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: 0.4913
-- Validation Loss: 0.5867
-- Train Accuracy: 0.7729
-- Train Precision: 0.7707
-- Train Recall: 0.7729
-- Train F1: 0.7706
-- Epoch: 0
+- Train Loss: 0.3218
+- Validation Loss: 0.6480
+- Train Accuracy: 0.7740
+- Train Precision: 0.7726
+- Train Recall: 0.7740
+- Train F1: 0.7725
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.4913     | 0.5867          | 0.7729         | 0.7707          | 0.7729       | 0.7706   | 0     |
+| 0.3218     | 0.6480          | 0.7740         | 0.7726          | 0.7740       | 0.7725   | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716366894.f6a4bbb2972d.324.3.v2

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logs/validation/events.out.tfevents.1716367496.f6a4bbb2972d.324.4.v2

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