Training in progress epoch 3

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: 0.3382
-- Validation Loss: 0.5437
-- Train Accuracy: 0.7960
-- Epoch: 2
+- Train Loss: 0.2327
+- Validation Loss: 0.6227
+- Train Accuracy: 0.7878
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.6358     | 0.5405          | 0.7821         | 0     |
 | 0.4380     | 0.5118          | 0.7844         | 1     |
 | 0.3382     | 0.5437          | 0.7960         | 2     |
+| 0.2327     | 0.6227          | 0.7878         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:76c3e1d9ba05a3a224f014dad0f0dafa085abd31bcb5d75dad6df47ae4059c30
 size 438226204