Training in progress epoch 1

README.md

@@ -16,13 +16,13 @@ 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: 0.1130
-- Validation Loss: 0.0547
-- Train Precision: 0.7364
-- Train Recall: 0.7916
-- Train F1: 0.7630
-- Train Accuracy: 0.9832
-- Epoch: 0
+- Train Loss: 0.0335
+- Validation Loss: 0.0497
+- Train Precision: 0.7836
+- Train Recall: 0.8513
+- Train F1: 0.8161
+- Train Accuracy: 0.9850
+- Epoch: 1
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1130     | 0.0547          | 0.7364          | 0.7916       | 0.7630   | 0.9832         | 0     |
+| 0.0335     | 0.0497          | 0.7836          | 0.8513       | 0.8161   | 0.9850         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 435849172