Training in progress epoch 85

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: 1.0182
-- Train Accuracy: 0.1141
-- Validation Loss: 0.9868
-- Validation Accuracy: 0.1150
-- Epoch: 84
+- Train Loss: 1.0146
+- Train Accuracy: 0.1142
+- Validation Loss: 0.9678
+- Validation Accuracy: 0.1164
+- Epoch: 85
 
 ## Model description
 
@@ -129,6 +129,7 @@ The following hyperparameters were used during training:
 | 1.0272     | 0.1138         | 1.0132          | 0.1138              | 82    |
 | 1.0211     | 0.1140         | 0.9575          | 0.1150              | 83    |
 | 1.0182     | 0.1141         | 0.9868          | 0.1150              | 84    |
+| 1.0146     | 0.1142         | 0.9678          | 0.1164              | 85    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d289b99338288e0c42ba13b8ce09f9eb43ff77d0045b220b70c634c27d5cf92b
+oid sha256:bf1ddf129e541f33952e19bc898eba582a02c43f214f58493507e620e5438c45
 size 499741936