Training in progress epoch 14

README.md

@@ -14,10 +14,10 @@ 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: 0.0229
-- Validation Loss: 0.1717
+- Train Loss: 0.0060
+- Validation Loss: 0.2047
 - Train Accuracy: 0.925
-- Epoch: 10
+- Epoch: 14
 
 ## Model description
 
@@ -54,6 +54,10 @@ The following hyperparameters were used during training:
 | 0.0476     | 0.1888          | 0.925          | 8     |
 | 0.0325     | 0.2012          | 0.925          | 9     |
 | 0.0229     | 0.1717          | 0.925          | 10    |
+| 0.0113     | 0.2052          | 0.95           | 11    |
+| 0.0087     | 0.1650          | 0.925          | 12    |
+| 0.0063     | 0.1987          | 0.95           | 13    |
+| 0.0060     | 0.2047          | 0.925          | 14    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4227ae40cd03fd1112e2808ed2706827490e2809226892cf4e859167f7117b0f
+oid sha256:e9844a28a498d6c7d189951e0f21094cd7b1ac4ddd83a2d04e67515cf181a323
 size 267951808