Training in progress epoch 16

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: 0.0123
-- Validation Loss: 0.8061
-- Train Accuracy: 0.905
-- Epoch: 15
+- Train Loss: 0.0139
+- Validation Loss: 0.7254
+- Train Accuracy: 0.8985
+- Epoch: 16
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.0097     | 0.6747          | 0.9075         | 13    |
 | 0.0122     | 0.7352          | 0.908          | 14    |
 | 0.0123     | 0.8061          | 0.905          | 15    |
+| 0.0139     | 0.7254          | 0.8985         | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b4bcb3984c4abc0b21381b140ed01c228f89bbc778639832bf6096add5969a7
+oid sha256:566bc739f53eec4d1ebd4588f8a549bb16c5323397b262ff1f44152a5c15fda3
 size 267964096