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 [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: 0.0951
-- Validation Loss: 0.0606
-- Train Accuracy: 0.9825
-- Train F1: 0.9661
-- Train Precision: 0.9823
-- Train Recall: 0.9504
-- Epoch: 0
+- Train Loss: 0.0406
+- Validation Loss: 0.0665
+- Train Accuracy: 0.9828
+- Train F1: 0.9667
+- Train Precision: 0.9882
+- Train Recall: 0.9460
+- Epoch: 1
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train F1 | Train Precision | Train Recall | Epoch |
 |:----------:|:---------------:|:--------------:|:--------:|:---------------:|:------------:|:-----:|
 | 0.0951     | 0.0606          | 0.9825         | 0.9661   | 0.9823          | 0.9504       | 0     |
+| 0.0406     | 0.0665          | 0.9828         | 0.9667   | 0.9882          | 0.9460       | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:de0244659b31b96a41b01903e7635250aaa9e395b13a77cabb860cda634001f5
 size 438223128