Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ 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: 0.6941
-- Validation Loss: 0.6740
+- Train Loss: 0.6740
+- Validation Loss: 0.6785
 - Train Accuracy: 0.6119
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.6892     | 0.6686          | 0.6119         | 1     |
 | 0.6784     | 0.8048          | 0.6119         | 2     |
 | 0.6941     | 0.6740          | 0.6119         | 3     |
+| 0.6740     | 0.6785          | 0.6119         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a9b53b0b8ee011be3b691d61e671fe070c692cb2523d55b8b10ef6739b8c17ca
 size 438223192