Training in progress epoch 86

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: 1.0602
-- Train Accuracy: 0.1131
-- Validation Loss: 1.0420
-- Validation Accuracy: 0.1132
-- Epoch: 85
+- Train Loss: 1.0580
+- Train Accuracy: 0.1132
+- Validation Loss: 1.0205
+- Validation Accuracy: 0.1149
+- Epoch: 86
 
 ## Model description
 
@@ -130,6 +130,7 @@ The following hyperparameters were used during training:
 | 1.0643     | 0.1129         | 1.0156          | 0.1146              | 83    |
 | 1.0629     | 0.1131         | 1.0127          | 0.1149              | 84    |
 | 1.0602     | 0.1131         | 1.0420          | 0.1132              | 85    |
+| 1.0580     | 0.1132         | 1.0205          | 0.1149              | 86    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:60a22c816d7f9025b15d8eccb0666cd0a06e19b74bae39ffb48c686b2c9335e5
+oid sha256:9089dd1e3005bfda2fefa002de31e7a66caeb51eeee7feddd1de52f972936017
 size 499741936