Training in progress epoch 60

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: 1.1454
+- Train Loss: 1.1403
 - Train Accuracy: 0.1111
-- Validation Loss: 1.0718
-- Validation Accuracy: 0.1128
-- Epoch: 59
+- Validation Loss: 1.0874
+- Validation Accuracy: 0.1123
+- Epoch: 60
 
 ## Model description
 
@@ -104,6 +104,7 @@ The following hyperparameters were used during training:
 | 1.1563     | 0.1107         | 1.1035          | 0.1119              | 57    |
 | 1.1517     | 0.1109         | 1.1035          | 0.1124              | 58    |
 | 1.1454     | 0.1111         | 1.0718          | 0.1128              | 59    |
+| 1.1403     | 0.1111         | 1.0874          | 0.1123              | 60    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:48c0dc8d6e357ff7abfcabb2cbbd3d43a0936e9f9e99f60e4b9aac533fd3728c
+oid sha256:0eb1caac9cf148a56f1e99d4744fc0896ffd7c249e032737a2074b617663a197
 size 499741936