Training in progress epoch 2

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: 2.4904
-- Validation Loss: 0.8741
-- Train Accuracy: 0.8810
-- Epoch: 0
+- Train Loss: 0.3022
+- Validation Loss: 0.1713
+- Train Accuracy: 0.9577
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.4904     | 0.8741          | 0.8810         | 0     |
+| 0.6902     | 0.2997          | 0.9375         | 1     |
+| 0.3022     | 0.1713          | 0.9577         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3e94fff32109874a312280debb29cecf529f871b15a487256291dc36bc5442ab
 size 1112593216