Training in progress epoch 304

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: 0.7644
-- Train Accuracy: 0.1206
-- Validation Loss: 0.8228
-- Validation Accuracy: 0.1199
-- Epoch: 303
+- Train Loss: 0.7651
+- Train Accuracy: 0.1205
+- Validation Loss: 0.7954
+- Validation Accuracy: 0.1213
+- Epoch: 304
 
 ## Model description
 
@@ -348,6 +348,7 @@ The following hyperparameters were used during training:
 | 0.7654     | 0.1205         | 0.8188          | 0.1206              | 301   |
 | 0.7657     | 0.1205         | 0.8140          | 0.1202              | 302   |
 | 0.7644     | 0.1206         | 0.8228          | 0.1199              | 303   |
+| 0.7651     | 0.1205         | 0.7954          | 0.1213              | 304   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb579766547063cf756e4f44a7c86c9873a3fac18e7b7f71a3502c0b3e8c87a1
+oid sha256:b3bd82d55fe217b5b93022299aab3f07961afbfb4ad340a0f7d78ae989004270
 size 499741936