Training in progress epoch 91

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: 7.9367
-- Train Accuracy: 0.0226
-- Validation Loss: 7.8988
-- Validation Accuracy: 0.0220
-- Epoch: 89
+- Train Loss: 7.8785
+- Train Accuracy: 0.0233
+- Validation Loss: 7.8527
+- Validation Accuracy: 0.0225
+- Epoch: 91
 
 ## Model description
 
@@ -134,6 +134,8 @@ The following hyperparameters were used during training:
 | 7.9369     | 0.0227         | 7.9015          | 0.0225              | 87    |
 | 7.9309     | 0.0229         | 7.9010          | 0.0224              | 88    |
 | 7.9367     | 0.0226         | 7.8988          | 0.0220              | 89    |
+| 7.8840     | 0.0230         | 7.8774          | 0.0216              | 90    |
+| 7.8785     | 0.0233         | 7.8527          | 0.0225              | 91    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6974d827a9f311fec2d1c98b19915b1072c00b82f5766de9feabe20a7148675e
+oid sha256:c4b4c7c5c08537e70e526bc95729797bd1a3e292904a4c09b0a7dbbb91c20fd1
 size 499741936