Training in progress epoch 21

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: 0.0154
-- Validation Loss: 0.3817
-- Train Accuracy: 0.9305
-- Epoch: 20
+- Train Loss: 0.0149
+- Validation Loss: 0.4736
+- Train Accuracy: 0.93
+- Epoch: 21
 
 ## Model description
 
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 0.0125     | 0.3894          | 0.934          | 18    |
 | 0.0271     | 0.3687          | 0.9305         | 19    |
 | 0.0154     | 0.3817          | 0.9305         | 20    |
+| 0.0149     | 0.4736          | 0.93           | 21    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fba93c6a7676943da98151c7ef0b0b2cd156669b934b7ce04b684b90800e922
+oid sha256:241b8b7891fcbb7b0d3902195946ce8cb551e284bc3d69bafcd71fab184bcf4d
 size 267964096