Training in progress epoch 80

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: 1.0741
+- Train Loss: 1.0716
 - Train Accuracy: 0.1128
-- Validation Loss: 1.0308
-- Validation Accuracy: 0.1134
-- Epoch: 79
+- Validation Loss: 1.0400
+- Validation Accuracy: 0.1137
+- Epoch: 80
 
 ## Model description
 
@@ -124,6 +124,7 @@ The following hyperparameters were used during training:
 | 1.0791     | 0.1126         | 1.0244          | 0.1148              | 77    |
 | 1.0764     | 0.1127         | 1.0366          | 0.1141              | 78    |
 | 1.0741     | 0.1128         | 1.0308          | 0.1134              | 79    |
+| 1.0716     | 0.1128         | 1.0400          | 0.1137              | 80    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b0e587e4a139739bc67359c60759597ff46173e652d62112eaa3f85a716c70a
+oid sha256:f0fa3652e7fa38c63bcd7bce508543e2819efe360e290d12f5db64e45c005a49
 size 499741936