Training in progress epoch 43

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: 1.2674
-- Train Accuracy: 0.1081
-- Validation Loss: 1.1787
-- Validation Accuracy: 0.1114
-- Epoch: 42
+- Train Loss: 1.2570
+- Train Accuracy: 0.1084
+- Validation Loss: 1.1709
+- Validation Accuracy: 0.1107
+- Epoch: 43
 
 ## Model description
 
@@ -87,6 +87,7 @@ The following hyperparameters were used during training:
 | 1.2891     | 0.1077         | 1.2139          | 0.1088              | 40    |
 | 1.2783     | 0.1079         | 1.2158          | 0.1093              | 41    |
 | 1.2674     | 0.1081         | 1.1787          | 0.1114              | 42    |
+| 1.2570     | 0.1084         | 1.1709          | 0.1107              | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:529fa964290669b5a817766e65508a97c386f1df295d81396e4dafce3cbd4529
 size 499741936