Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ 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: 1.5062
-- Train End Logits Accuracy: 0.6059
-- Train Start Logits Accuracy: 0.6533
-- Validation Loss: 0.5270
-- Validation End Logits Accuracy: 0.8308
-- Validation Start Logits Accuracy: 0.8867
-- Epoch: 0
+- Train Loss: 0.6589
+- Train End Logits Accuracy: 0.7895
+- Train Start Logits Accuracy: 0.8564
+- Validation Loss: 0.4835
+- Validation End Logits Accuracy: 0.8406
+- Validation Start Logits Accuracy: 0.8979
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5062     | 0.6059                    | 0.6533                      | 0.5270          | 0.8308                         | 0.8867                           | 0     |
+| 0.6589     | 0.7895                    | 0.8564                      | 0.4835          | 0.8406                         | 0.8979                           | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 1110105320