Training in progress epoch 222

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: 0.8115
-- Train Accuracy: 0.1193
-- Validation Loss: 0.8164
-- Validation Accuracy: 0.1200
-- Epoch: 221
+- Train Loss: 0.8095
+- Train Accuracy: 0.1194
+- Validation Loss: 0.8340
+- Validation Accuracy: 0.1195
+- Epoch: 222
 
 ## Model description
 
@@ -266,6 +266,7 @@ The following hyperparameters were used during training:
 | 0.8127     | 0.1193         | 0.8730          | 0.1185              | 219   |
 | 0.8118     | 0.1193         | 0.8198          | 0.1183              | 220   |
 | 0.8115     | 0.1193         | 0.8164          | 0.1200              | 221   |
+| 0.8095     | 0.1194         | 0.8340          | 0.1195              | 222   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:888810172ebe31578a535772e96209f562087bb214c00f955bc73465b8ee5d8c
+oid sha256:28d1646e59c4471a9cb57916f5838310064f98ea64aebe30ff8e7786bce133f1
 size 499741936