Training in progress epoch 64

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: 1.1277
-- Train Accuracy: 0.1114
-- Validation Loss: 1.0723
-- Validation Accuracy: 0.1129
-- Epoch: 63
+- Train Loss: 1.1226
+- Train Accuracy: 0.1116
+- Validation Loss: 1.0640
+- Validation Accuracy: 0.1124
+- Epoch: 64
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 1.1360     | 0.1112         | 1.0742          | 0.1145              | 61    |
 | 1.1318     | 0.1114         | 1.0811          | 0.1131              | 62    |
 | 1.1277     | 0.1114         | 1.0723          | 0.1129              | 63    |
+| 1.1226     | 0.1116         | 1.0640          | 0.1124              | 64    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:12375c575a54b44eb59a811402b3115212e04e7056a85c529d20a9aa0fd1998a
 size 499741936