Training in progress epoch 2

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1223
-- Train Accuracy: 0.9562
-- Validation Loss: 0.1806
-- Validation Accuracy: 0.9381
-- Epoch: 1
+- Train Loss: 0.0760
+- Train Accuracy: 0.9736
+- Validation Loss: 0.2081
+- Validation Accuracy: 0.9346
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2126     | 0.9165         | 0.1748          | 0.9335              | 0     |
 | 0.1223     | 0.9562         | 0.1806          | 0.9381              | 1     |
+| 0.0760     | 0.9736         | 0.2081          | 0.9346              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29128eaf6e68e5289f9574ed393be797244f01fc97b9db4d00e26390d446ba36
+oid sha256:208694ec12b593d9ca1e41325126bef880d659c8fc033bed6b641592b121415a
 size 498878272