Training in progress epoch 83

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: 0.0145
-- Validation Loss: 0.7057
-- Train Accuracy: 0.917
-- Epoch: 82
+- Train Loss: 0.0147
+- Validation Loss: 0.6455
+- Train Accuracy: 0.9155
+- Epoch: 83
 
 ## Model description
 
@@ -127,6 +127,7 @@ The following hyperparameters were used during training:
 | 0.0095     | 0.6940          | 0.921          | 80    |
 | 0.0139     | 0.6246          | 0.9245         | 81    |
 | 0.0145     | 0.7057          | 0.917          | 82    |
+| 0.0147     | 0.6455          | 0.9155         | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9814e7a5087e0d38b9240ab3c420543e18a4377452b7444027bdc9f7d88dcbf
+oid sha256:99d7e66acfc173ca00d62f848cf4c07b7727488341598c3eb77b2c110539668e
 size 267964096