Training in progress epoch 233

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: 0.8037
-- Train Accuracy: 0.1195
-- Validation Loss: 0.8159
-- Validation Accuracy: 0.1201
-- Epoch: 232
+- Train Loss: 0.8024
+- Train Accuracy: 0.1196
+- Validation Loss: 0.8213
+- Validation Accuracy: 0.1186
+- Epoch: 233
 
 ## Model description
 
@@ -277,6 +277,7 @@ The following hyperparameters were used during training:
 | 0.8045     | 0.1195         | 0.8350          | 0.1187              | 230   |
 | 0.8049     | 0.1195         | 0.8369          | 0.1191              | 231   |
 | 0.8037     | 0.1195         | 0.8159          | 0.1201              | 232   |
+| 0.8024     | 0.1196         | 0.8213          | 0.1186              | 233   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c21a09247d888d1a3c3c4d702009934394910d99dfceb6c5b4a592c4aeada117
+oid sha256:036a3e2f375dac99ddaca1cb7c0d56a90106972da767e84f6f0d27c837a50709
 size 499741936