Training in progress epoch 13

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: 0.0133
-- Validation Loss: 0.6241
-- Train Accuracy: 0.9125
-- Epoch: 12
+- Train Loss: 0.0097
+- Validation Loss: 0.6747
+- Train Accuracy: 0.9075
+- Epoch: 13
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.0224     | 0.6014          | 0.9065         | 10    |
 | 0.0168     | 0.6000          | 0.914          | 11    |
 | 0.0133     | 0.6241          | 0.9125         | 12    |
+| 0.0097     | 0.6747          | 0.9075         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e46cf8013e0f15e39816386ddd96ec9a5d187947d6ac16d421ec15b30243e9db
 size 267964096