Training in progress epoch 9

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: 4.9642
+- Train Loss: 4.9217
 - Train Accuracy: 0.0448
-- Validation Loss: 4.9219
-- Validation Accuracy: 0.0441
-- Epoch: 8
+- Validation Loss: 4.9258
+- Validation Accuracy: 0.0440
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 5.0673     | 0.0446         | 5.0703          | 0.0442              | 6     |
 | 5.0132     | 0.0447         | 4.9883          | 0.0442              | 7     |
 | 4.9642     | 0.0448         | 4.9219          | 0.0441              | 8     |
+| 4.9217     | 0.0448         | 4.9258          | 0.0440              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86b6979a4a40d037a33cd883d7d3d6664cd1bc98370c49623006d2b88fe41e16
+oid sha256:c0d1865a47f863a3613228c7e6308bbd28accaaedff485041ad30d410dc6be67
 size 499741936