Training in progress epoch 73

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: 0.0336
-- Validation Loss: 0.4875
-- Train Accuracy: 0.9175
-- Epoch: 72
+- Train Loss: 0.0177
+- Validation Loss: 0.5256
+- Train Accuracy: 0.923
+- Epoch: 73
 
 ## Model description
 
@@ -117,6 +117,7 @@ The following hyperparameters were used during training:
 | 0.0055     | 0.6577          | 0.928          | 70    |
 | 0.0073     | 0.5865          | 0.9255         | 71    |
 | 0.0336     | 0.4875          | 0.9175         | 72    |
+| 0.0177     | 0.5256          | 0.923          | 73    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a71680ef4df572dc731e3903284facc96c3856fc3b58e088a5fd8386fbc9d8d
+oid sha256:63497efa87c9f470080a23e479d35cd7ec4e64840daf3629cd470a04d655aa9c
 size 267964096