Training in progress epoch 31

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: 0.6551
-- Train Accuracy: 0.905
-- Epoch: 30
+- Train Loss: 0.0188
+- Validation Loss: 0.7582
+- Train Accuracy: 0.906
+- Epoch: 31
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 0.0177     | 0.6694          | 0.8925         | 28    |
 | 0.0157     | 0.7312          | 0.9045         | 29    |
 | 0.0145     | 0.6551          | 0.905          | 30    |
+| 0.0188     | 0.7582          | 0.906          | 31    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f7b1f0a8d7e1fb6e0dc5ed50e84206f1c9367189cb7aa81596776c3af1e72a9
+oid sha256:8d4aa106f892d9d81fa1f31853d9391f4c76cb90be0273c254ee695d78a85bea
 size 267964096