Training in progress epoch 24

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: 0.0159
-- Validation Loss: 0.7443
-- Train Accuracy: 0.8885
-- Epoch: 23
+- Train Loss: 0.0238
+- Validation Loss: 0.7381
+- Train Accuracy: 0.8935
+- Epoch: 24
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0206     | 0.7428          | 0.8995         | 21    |
 | 0.0108     | 0.7883          | 0.8965         | 22    |
 | 0.0159     | 0.7443          | 0.8885         | 23    |
+| 0.0238     | 0.7381          | 0.8935         | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f31eb706e80ceab5bff87080fb626e038a7d127927ed1d8fa97d18dd1a412a1b
+oid sha256:cc1c9cf232c183017f1c2bdc3fa544e186d3d6066409cc2c722bf71dde32cb64
 size 267964096