Training in progress epoch 12

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: 0.0168
-- Validation Loss: 0.6000
-- Train Accuracy: 0.914
-- Epoch: 11
+- Train Loss: 0.0133
+- Validation Loss: 0.6241
+- Train Accuracy: 0.9125
+- Epoch: 12
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.0192     | 0.7431          | 0.901          | 9     |
 | 0.0224     | 0.6014          | 0.9065         | 10    |
 | 0.0168     | 0.6000          | 0.914          | 11    |
+| 0.0133     | 0.6241          | 0.9125         | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:897f9eae5b7634be6779e019adbb376716dfc4e547da21d5dc2e08880c6c2007
+oid sha256:2ba027e3d0f7b9e83e31a3662bda7fe82115fb1d3d3dcbafa7ab0d6c586a935e
 size 267964096