Training in progress epoch 1

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: 0.5482
-- Validation Loss: 0.4911
-- Train Accuracy: 0.7991
-- Epoch: 0
+- Train Loss: 0.4389
+- Validation Loss: 0.5053
+- Train Accuracy: 0.7972
+- Epoch: 1
 
 ## Model description
 
@@ -43,6 +43,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.5482     | 0.4911          | 0.7991         | 0     |
+| 0.4389     | 0.5053          | 0.7972         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:59e5a0e30675c237ae4f4b1a1e5411913adaedd524ce0757afdbd9d0bcc24f29
 size 1112473408