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: 3.1264
-- Validation Loss: 1.3286
-- Train Accuracy: 0.9194
-- Epoch: 0
+- Train Loss: 0.8468
+- Validation Loss: 0.3868
+- 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 |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 3.1264     | 1.3286          | 0.9194         | 0     |
+| 0.8468     | 0.3868          | 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 sha256:6263cf2f798abd39be4a28d0a9b3ab01bb5f38303de7bb1a1ad4d86488e303f3
 size 438909076