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: 1.4726
-- Train End Logits Accuracy: 0.6104
-- Train Start Logits Accuracy: 0.6723
-- Validation Loss: 0.5444
-- Validation End Logits Accuracy: 0.8266
-- Validation Start Logits Accuracy: 0.8839
-- Epoch: 0
+- Train Loss: 0.6639
+- Train End Logits Accuracy: 0.7915
+- Train Start Logits Accuracy: 0.8538
+- Validation Loss: 0.4898
+- Validation End Logits Accuracy: 0.8462
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4726     | 0.6104                    | 0.6723                      | 0.5444          | 0.8266                         | 0.8839                           | 0     |
+| 0.6639     | 0.7915                    | 0.8538                      | 0.4898          | 0.8462                         | 0.8979                           | 1     |
 
 
 ### Framework versions

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tf_model.h5

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