Training in progress epoch 16

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: 0.3634
-- Validation Loss: 0.5459
-- Train Accuracy: 0.6923
-- Epoch: 15
+- Train Loss: 0.3337
+- Validation Loss: 0.4893
+- Train Accuracy: 0.7436
+- Epoch: 16
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.4013     | 0.5261          | 0.7179         | 13    |
 | 0.3893     | 0.4976          | 0.7436         | 14    |
 | 0.3634     | 0.5459          | 0.6923         | 15    |
+| 0.3337     | 0.4893          | 0.7436         | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bfbbfd3c6be019044d7204af25d252e53d4063785af05751c167e6f03a5079be
+oid sha256:edb533fc707a5fe70f7081feeaa8eadb9786b369f8e02029fd6e92a1477a7582
 size 267955144