Training in progress epoch 3

README.md

@@ -14,11 +14,11 @@ 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: 1.0996
-- Train Accuracy: 0.3631
+- Train Loss: 1.0986
+- Train Accuracy: 0.3556
 - Validation Loss: 1.0986
 - Validation Accuracy: 0.3814
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.1128     | 0.3360         | 1.0986          | 0.3356              | 0     |
 | 1.0990     | 0.3370         | 1.0986          | 0.3823              | 1     |
 | 1.0996     | 0.3631         | 1.0986          | 0.3814              | 2     |
+| 1.0986     | 0.3556         | 1.0986          | 0.3814              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:72f957dfe30f25b9e697e56998506979e1070d95017b894ab1aaf6aafdd27d33
 size 438226204