Training in progress epoch 257

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: 0.7884
-- Train Accuracy: 0.1200
-- Validation Loss: 0.8379
-- Validation Accuracy: 0.1204
-- Epoch: 256
+- Train Loss: 0.7882
+- Train Accuracy: 0.1199
+- Validation Loss: 0.8271
+- Validation Accuracy: 0.1194
+- Epoch: 257
 
 ## Model description
 
@@ -301,6 +301,7 @@ The following hyperparameters were used during training:
 | 0.7897     | 0.1198         | 0.8281          | 0.1195              | 254   |
 | 0.7894     | 0.1199         | 0.8140          | 0.1193              | 255   |
 | 0.7884     | 0.1200         | 0.8379          | 0.1204              | 256   |
+| 0.7882     | 0.1199         | 0.8271          | 0.1194              | 257   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4541307e29430df910338034812d42b3eb58abacc759a379ce0e8ea04a8277c
+oid sha256:00c7171732dcdc8bc3aeb33aa719948deeb4d6634a0b2d1dfd9fd5ed0f5ea7c7
 size 499741936