Training in progress epoch 291

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: 0.7713
-- Train Accuracy: 0.1203
-- Validation Loss: 0.8145
-- Validation Accuracy: 0.1204
-- Epoch: 290
+- Train Loss: 0.7703
+- Train Accuracy: 0.1204
+- Validation Loss: 0.8057
+- Validation Accuracy: 0.1202
+- Epoch: 291
 
 ## Model description
 
@@ -335,6 +335,7 @@ The following hyperparameters were used during training:
 | 0.7721     | 0.1204         | 0.8164          | 0.1203              | 288   |
 | 0.7719     | 0.1203         | 0.8359          | 0.1205              | 289   |
 | 0.7713     | 0.1203         | 0.8145          | 0.1204              | 290   |
+| 0.7703     | 0.1204         | 0.8057          | 0.1202              | 291   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e8aabb15ed6fadf86a948e93d01c103dea1f765f0d1e25a8216896d73f02761
+oid sha256:cf0e6cc5982393ab5a2cac7bd97c435b72c7b778bd8707cdcb512a9baafa2f65
 size 499741936