Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ 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: 2.4206
-- Validation Loss: 0.9155
-- Train Accuracy: 0.9353
-- Epoch: 0
+- Train Loss: 0.6282
+- Validation Loss: 0.2967
+- Train Accuracy: 0.9677
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.4206     | 0.9155          | 0.9353         | 0     |
+| 0.6282     | 0.2967          | 0.9677         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5c4c920d68de055cff9f13416d978c540306748596581e22cc51f6a163c700de
 size 438395384