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: 0.1349
-- Validation Loss: 0.1774
-- Train Accuracy: 0.9314
-- Epoch: 1
+- Train Loss: 0.0661
+- Validation Loss: 0.2365
+- Train Accuracy: 0.9245
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2527     | 0.2124          | 0.9155         | 0     |
 | 0.1349     | 0.1774          | 0.9314         | 1     |
+| 0.0661     | 0.2365          | 0.9245         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:98c7e987c0fbdb0a4a91b0838a10bb9bb6a0be6b7eaa4af8ca63a0c856bb6a9d
+oid sha256:da76a2574747a42f14931cb392f10b568bba67ff86c1879f317701b5f20f6bc1
 size 267951808