Training in progress epoch 1

README.md

@@ -14,10 +14,10 @@ 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: 0.3738
-- Validation Loss: 0.2117
-- Train Accuracy: 0.9301
-- Epoch: 0
+- Train Loss: 0.2323
+- Validation Loss: 0.1927
+- Train Accuracy: 0.9347
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.3738     | 0.2117          | 0.9301         | 0     |
+| 0.2323     | 0.1927          | 0.9347         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:49332b08cb76a1d4be097b0a36d39c3ff3464cba14df43507bb875a0a99aeebc
 size 1112470336