Training in progress epoch 6

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: 4.8672
+- Train Loss: 4.8200
 - Train Accuracy: 0.0449
-- Validation Loss: 4.8789
-- Validation Accuracy: 0.0440
-- Epoch: 5
+- Validation Loss: 4.8164
+- Validation Accuracy: 0.0441
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 5.0231     | 0.0447         | 4.9453          | 0.0446              | 3     |
 | 4.9323     | 0.0448         | 4.8633          | 0.0443              | 4     |
 | 4.8672     | 0.0449         | 4.8789          | 0.0440              | 5     |
+| 4.8200     | 0.0449         | 4.8164          | 0.0441              | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e075bab2ca2670ddc6e025ae6c6c2332a887069e99b0ae259c3d3203bb7fc75
+oid sha256:ff6a959e2115804e5128a4df0a6a7fc46bd010d7a91ed5b71c65a8880843c92a
 size 499741936