Training in progress epoch 96

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: 1.0458
-- Train Accuracy: 0.1134
-- Validation Loss: 1.0220
-- Validation Accuracy: 0.1143
-- Epoch: 95
+- Train Loss: 1.0448
+- Train Accuracy: 0.1135
+- Validation Loss: 0.9785
+- Validation Accuracy: 0.1147
+- Epoch: 96
 
 ## Model description
 
@@ -140,6 +140,7 @@ The following hyperparameters were used during training:
 | 1.0482     | 0.1134         | 0.9917          | 0.1141              | 93    |
 | 1.0463     | 0.1135         | 1.0244          | 0.1145              | 94    |
 | 1.0458     | 0.1134         | 1.0220          | 0.1143              | 95    |
+| 1.0448     | 0.1135         | 0.9785          | 0.1147              | 96    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2bf189dbe146163944c74aafb77054f228d43d2db16101dbfc01f9359497c2f5
+oid sha256:a930aec1b1e1062678f4ce053e5b9c4f8f0d557f69c8c2e9abb0e842f4c2339a
 size 499741936