Training in progress epoch 1

README.md

@@ -14,10 +14,10 @@ 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: 0.2528
-- Validation Loss: 0.1872
-- Train Accuracy: 0.9277
-- Epoch: 0
+- Train Loss: 0.1321
+- Validation Loss: 0.1924
+- Train Accuracy: 0.9276
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2528     | 0.1872          | 0.9277         | 0     |
+| 0.1321     | 0.1924          | 0.9276         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eac65dd5698ba1f82c29e08007bb2a6596129e33e800e7e24640023fd240c6ec
+oid sha256:5f42946f4ddc04d75bcf4da89cc44a9be44fc09cad42568c577fe8ea03bb60f2
 size 267951808