Training in progress epoch 101

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: 0.9678
+- Train Loss: 0.9660
 - Train Accuracy: 0.1154
-- Validation Loss: 0.9453
-- Validation Accuracy: 0.1166
-- Epoch: 100
+- Validation Loss: 0.9507
+- Validation Accuracy: 0.1169
+- Epoch: 101
 
 ## Model description
 
@@ -145,6 +145,7 @@ The following hyperparameters were used during training:
 | 0.9740     | 0.1152         | 0.9512          | 0.1169              | 98    |
 | 0.9712     | 0.1153         | 0.9375          | 0.1159              | 99    |
 | 0.9678     | 0.1154         | 0.9453          | 0.1166              | 100   |
+| 0.9660     | 0.1154         | 0.9507          | 0.1169              | 101   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10dffb82e5196ff2389aa80f5f107f93f6547acbed91e694867eb2dfeb23171d
+oid sha256:e6fd4eeaa1044a8029556e6feeb7d3029d4c004850e3413290d8d88f592b2d8d
 size 499741936