Training in progress epoch 1

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: 0.2126
-- Train Accuracy: 0.9165
-- Validation Loss: 0.1748
-- Validation Accuracy: 0.9335
-- Epoch: 0
+- Train Loss: 0.1223
+- Train Accuracy: 0.9562
+- Validation Loss: 0.1806
+- Validation Accuracy: 0.9381
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2126     | 0.9165         | 0.1748          | 0.9335              | 0     |
+| 0.1223     | 0.9562         | 0.1806          | 0.9381              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aaeea51867d9ab7ced7f7ab131fc42210e1c4de475d0fe1918065652dae25a75
+oid sha256:29128eaf6e68e5289f9574ed393be797244f01fc97b9db4d00e26390d446ba36
 size 498878272