Training in progress epoch 38

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: 1.3260
-- Train Accuracy: 0.1068
-- Validation Loss: 1.25
-- Validation Accuracy: 0.1096
-- Epoch: 37
+- Train Loss: 1.3127
+- Train Accuracy: 0.1071
+- Validation Loss: 1.2266
+- Validation Accuracy: 0.1102
+- Epoch: 38
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 1.3550     | 0.1062         | 1.2705          | 0.1082              | 35    |
 | 1.3398     | 0.1065         | 1.2578          | 0.1082              | 36    |
 | 1.3260     | 0.1068         | 1.25            | 0.1096              | 37    |
+| 1.3127     | 0.1071         | 1.2266          | 0.1102              | 38    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:888c378400980254a7b1e39dc0d27edcf0cefcff68f40a9e1610c6b1a7b238be
+oid sha256:d46356827a983daad2f663852a5dbcca06a906f68f17fdbf18b19ef803e20d38
 size 499741936