Training in progress epoch 8

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: 0.5992
-- Validation Loss: 0.7954
-- Train Accuracy: 0.7778
-- Epoch: 7
+- Train Loss: 0.5088
+- Validation Loss: 0.8055
+- Train Accuracy: 0.7733
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.7645     | 0.9131          | 0.7556         | 5     |
 | 0.6761     | 0.8459          | 0.76           | 6     |
 | 0.5992     | 0.7954          | 0.7778         | 7     |
+| 0.5088     | 0.8055          | 0.7733         | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:19d350a82987111b3b99f5a1f0d9272ce7d5bf8c9ee116dc5d589b9cafeace2d
 size 1112482624