Training in progress epoch 59

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: 1.1596
-- Train Accuracy: 0.1106
-- Validation Loss: 1.0977
-- Validation Accuracy: 0.1125
-- Epoch: 58
+- Train Loss: 1.1530
+- Train Accuracy: 0.1108
+- Validation Loss: 1.1172
+- Validation Accuracy: 0.1118
+- Epoch: 59
 
 ## Model description
 
@@ -103,6 +103,7 @@ The following hyperparameters were used during training:
 | 1.1782     | 0.1102         | 1.1289          | 0.1111              | 56    |
 | 1.1698     | 0.1104         | 1.1211          | 0.1117              | 57    |
 | 1.1596     | 0.1106         | 1.0977          | 0.1125              | 58    |
+| 1.1530     | 0.1108         | 1.1172          | 0.1118              | 59    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:054f17570015860a4ea62d352741558d8b8d5e64f58ad2cc513d1a9787bfcf50
+oid sha256:d41b3d2ea2f68345f28291dcecab1291b2bfbdd0f84e4da1d597a83f124a5bde
 size 499741936