Training in progress epoch 58

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: 1.1563
-- Train Accuracy: 0.1107
+- Train Loss: 1.1517
+- Train Accuracy: 0.1109
 - Validation Loss: 1.1035
-- Validation Accuracy: 0.1119
-- Epoch: 57
+- Validation Accuracy: 0.1124
+- Epoch: 58
 
 ## Model description
 
@@ -102,6 +102,7 @@ The following hyperparameters were used during training:
 | 1.1679     | 0.1105         | 1.0884          | 0.1122              | 55    |
 | 1.1613     | 0.1106         | 1.1084          | 0.1120              | 56    |
 | 1.1563     | 0.1107         | 1.1035          | 0.1119              | 57    |
+| 1.1517     | 0.1109         | 1.1035          | 0.1124              | 58    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f6a026177dd2a87558529e0f74e7e6d121558cdab5de1576cfaf8ef87963171
+oid sha256:583c740c8e3c242dd06f4b93f7239d0bbe6a05ef313a885891ec616b62ee9ee6
 size 499741936