Training in progress epoch 52

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: 8.4005
-- Train Accuracy: 0.0229
-- Validation Loss: 8.3768
-- Validation Accuracy: 0.0218
-- Epoch: 50
+- Train Loss: 8.3428
+- Train Accuracy: 0.0235
+- Validation Loss: 8.3540
+- Validation Accuracy: 0.0221
+- Epoch: 52
 
 ## Model description
 
@@ -95,6 +95,8 @@ The following hyperparameters were used during training:
 | 8.4096     | 0.0232         | 8.4033          | 0.0221              | 48    |
 | 8.4162     | 0.0228         | 8.3869          | 0.0221              | 49    |
 | 8.4005     | 0.0229         | 8.3768          | 0.0218              | 50    |
+| 8.3583     | 0.0235         | 8.3470          | 0.0224              | 51    |
+| 8.3428     | 0.0235         | 8.3540          | 0.0221              | 52    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:037a0eb6a1059a3aec1c484649d4400e79a72dffd2812d8733fd3df3b34ee959
+oid sha256:1a1936c7cedfe6e1fdf1ec410e1828231192130be129dfb0c9afec455dda1c80
 size 499741936