Training in progress epoch 2

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: 1.3806
-- Validation Loss: 1.4063
-- Train Accuracy: 0.2805
-- Epoch: 1
+- Train Loss: 1.3070
+- Validation Loss: 1.3859
+- Train Accuracy: 0.2622
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.3890     | 1.3861          | 0.3232         | 0     |
 | 1.3806     | 1.4063          | 0.2805         | 1     |
+| 1.3070     | 1.3859          | 0.2622         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a217c3af502a695a53e8b190f5301f7e7387a95f33face0afb09f3682e864d1a
 size 438203668