Training in progress epoch 11

README.md

@@ -14,11 +14,11 @@ 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: 4.7084
-- Train Accuracy: 0.0449
-- Validation Loss: 4.7422
-- Validation Accuracy: 0.0443
-- Epoch: 10
+- Train Loss: 4.6884
+- Train Accuracy: 0.0450
+- Validation Loss: 4.7148
+- Validation Accuracy: 0.0437
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 4.7546     | 0.0449         | 4.7539          | 0.0441              | 8     |
 | 4.7288     | 0.0449         | 4.7305          | 0.0447              | 9     |
 | 4.7084     | 0.0449         | 4.7422          | 0.0443              | 10    |
+| 4.6884     | 0.0450         | 4.7148          | 0.0437              | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1dabd9b625dcb338fdb448d278445393cdd2ecaa77bb1ca654e5ed60c929d0be
+oid sha256:f428ffc76a9cc3512ced88f0a3142a41bda65f00a140bb87dd894c23047a907d
 size 499741936