Training in progress epoch 78

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0118
-- Validation Loss: 0.5649
-- Train Accuracy: 0.9235
-- Epoch: 77
+- Train Loss: 0.0147
+- Validation Loss: 0.5592
+- Train Accuracy: 0.9245
+- Epoch: 78
 
 ## Model description
 
@@ -122,6 +122,7 @@ The following hyperparameters were used during training:
 | 0.0076     | 0.6803          | 0.9225         | 75    |
 | 0.0114     | 0.5571          | 0.9205         | 76    |
 | 0.0118     | 0.5649          | 0.9235         | 77    |
+| 0.0147     | 0.5592          | 0.9245         | 78    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:91358308ce1857f2dd333afdf596649e1ad5e2a9b4760d9b4bf1a0ebc75f5be8
+oid sha256:4b895a390059eea23a8228158335282ebb58dfa2e3f867a6456272672c64dd09
 size 267964096