Training in progress epoch 281

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: 0.7757
-- Train Accuracy: 0.1202
-- Validation Loss: 0.8242
-- Validation Accuracy: 0.1196
-- Epoch: 280
+- Train Loss: 0.7751
+- Train Accuracy: 0.1203
+- Validation Loss: 0.8140
+- Validation Accuracy: 0.1215
+- Epoch: 281
 
 ## Model description
 
@@ -325,6 +325,7 @@ The following hyperparameters were used during training:
 | 0.7771     | 0.1202         | 0.8164          | 0.1207              | 278   |
 | 0.7762     | 0.1202         | 0.8154          | 0.1194              | 279   |
 | 0.7757     | 0.1202         | 0.8242          | 0.1196              | 280   |
+| 0.7751     | 0.1203         | 0.8140          | 0.1215              | 281   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cfabcc228353e19df855870a2c0f80b332647fd14ba7912e2670f3ede80a9f84
+oid sha256:9cb97bcff44d2e5361e58597dc66352c48c5a5c15b2f7ce8646e932994651b59
 size 499741936