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: 0.8206
-- Validation Loss: 0.5855
-- Train Accuracy: 0.7752
-- Epoch: 0
+- Train Loss: 0.3468
+- Validation Loss: 0.5660
+- Train Accuracy: 0.7972
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.8206     | 0.5855          | 0.7752         | 0     |
+| 0.3468     | 0.5660          | 0.7972         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:278c3177c75531560a9250ee55cdca3fd8dea4d8327daed299d08559ad8cf9ed
+oid sha256:66dc402372b073b12e32934b71cfa0b06240bc3210b414689109dd0bea5df1ca
 size 438203668