Training in progress epoch 2

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: 0.5124
-- Validation Loss: 0.6253
-- Train Accuracy: 0.6667
-- Epoch: 1
+- Train Loss: 0.3941
+- Validation Loss: 0.6584
+- Train Accuracy: 0.6651
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6159     | 0.6435          | 0.6490         | 0     |
 | 0.5124     | 0.6253          | 0.6667         | 1     |
+| 0.3941     | 0.6584          | 0.6651         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c296c299a891f13f2d2b60b897b55b9a29ccc2b247e0d7827d50fbe1e8204c2
+oid sha256:396625214ff8ba96443eafeccc9460638febf42b87bcc099bc3ca4b7123af430
 size 267955144