Training in progress epoch 2

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: 0.2233
-- Validation Loss: 0.1953
-- Train Accuracy: 0.9252
-- Epoch: 1
+- Train Loss: 0.1538
+- Validation Loss: 0.1913
+- Train Accuracy: 0.9312
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.4806     | 0.2300          | 0.9078         | 0     |
 | 0.2233     | 0.1953          | 0.9252         | 1     |
+| 0.1538     | 0.1913          | 0.9312         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e277ed3c263d9251c3de5dfcf930a92019cbc98d0cc585d011dc207c5d4f5972
 size 1112470336