Training in progress epoch 48

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: 1.2816
-- Train Accuracy: 0.1078
-- Validation Loss: 1.2168
-- Validation Accuracy: 0.1093
-- Epoch: 47
+- Train Loss: 1.2672
+- Train Accuracy: 0.1081
+- Validation Loss: 1.2070
+- Validation Accuracy: 0.1090
+- Epoch: 48
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 1.3111     | 0.1071         | 1.2334          | 0.1096              | 45    |
 | 1.2962     | 0.1075         | 1.2490          | 0.1084              | 46    |
 | 1.2816     | 0.1078         | 1.2168          | 0.1093              | 47    |
+| 1.2672     | 0.1081         | 1.2070          | 0.1090              | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab1aab060681f392fb551802ffbefa75d095d9abeb05128f8298c8e606556c20
+oid sha256:c470789c925217cf65c303f331a715376a44f8a3d6952504bad12501a5009db1
 size 499741936