Training in progress epoch 9

README.md

@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0768
-- Validation Loss: 0.9647
-- Train Accuracy: 0.7929
-- Epoch: 8
+- Train Loss: 0.0648
+- Validation Loss: 1.0107
+- Train Accuracy: 0.7943
+- Epoch: 9
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1162     | 0.8836          | 0.7855         | 6     |
 | 0.0943     | 0.9301          | 0.7903         | 7     |
 | 0.0768     | 0.9647          | 0.7929         | 8     |
+| 0.0648     | 1.0107          | 0.7943         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2889b3ee47b3e8b7305dbf190aa6e5d503c3c574d9af32ccd15e0c4c3420e9c9
+oid sha256:094d37d2f0c435ebce2dd5476222aa6446eaf77be3e075ccce23f097ef797b0e
 size 1112473408