Training in progress epoch 4

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: 0.2774
-- Validation Loss: 0.6193
-- Train Accuracy: 0.7872
-- Epoch: 3
+- Train Loss: 0.2080
+- Validation Loss: 0.6732
+- Train Accuracy: 0.7989
+- Epoch: 4
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.4389     | 0.5053          | 0.7972         | 1     |
 | 0.3567     | 0.5357          | 0.7935         | 2     |
 | 0.2774     | 0.6193          | 0.7872         | 3     |
+| 0.2080     | 0.6732          | 0.7989         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0e177283888e1d7dc09954aa573dda6710681a6686c1a87698f7dc14d2cd4d52
 size 1112473408