Training in progress epoch 6

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7645
-- Validation Loss: 0.9131
-- Train Accuracy: 0.7556
-- Epoch: 5
+- Train Loss: 0.6761
+- Validation Loss: 0.8459
+- Train Accuracy: 0.76
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.9986     | 1.0134          | 0.6844         | 3     |
 | 0.8905     | 0.9697          | 0.7378         | 4     |
 | 0.7645     | 0.9131          | 0.7556         | 5     |
+| 0.6761     | 0.8459          | 0.76           | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d788f5eec859506abbe43a114ba00a8e2be9e0543dc7cf8d8a669d6ec519ea6f
 size 1112482624