Training in progress epoch 88

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: 0.0152
-- Validation Loss: 0.6264
-- Train Accuracy: 0.9205
-- Epoch: 87
+- Train Loss: 0.0115
+- Validation Loss: 0.6208
+- Train Accuracy: 0.915
+- Epoch: 88
 
 ## Model description
 
@@ -132,6 +132,7 @@ The following hyperparameters were used during training:
 | 0.0074     | 0.6786          | 0.92           | 85    |
 | 0.0093     | 0.7300          | 0.9125         | 86    |
 | 0.0152     | 0.6264          | 0.9205         | 87    |
+| 0.0115     | 0.6208          | 0.915          | 88    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2b65a1f8ad50c0e8b9c38d8062f22dce5bb54ea8e515fa77308e98bc00911ca
+oid sha256:6f8240482fcc7954ee288686455b75f0c7b664371ff3fd94a6b5c6a4b0a93374
 size 267964096