Training in progress epoch 2

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: 0.0406
-- Validation Loss: 0.0665
-- Train Accuracy: 0.9828
-- Train F1: 0.9667
-- Train Precision: 0.9882
-- Train Recall: 0.9460
-- Epoch: 1
+- Train Loss: 0.0161
+- Validation Loss: 0.0759
+- Train Accuracy: 0.9835
+- Train F1: 0.9684
+- Train Precision: 0.9742
+- Train Recall: 0.9627
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:--------:|:---------------:|:------------:|:-----:|
 | 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     |
+| 0.0161     | 0.0759          | 0.9835         | 0.9684   | 0.9742          | 0.9627       | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ad7485aad9757c88805fb737417de0c6234459dff3c5760433f4fb7f4d4b98e6
 size 438223128