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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1900
-- Train End Logits Accuracy: 0.6943
-- Train Start Logits Accuracy: 0.7336
-- Validation Loss: 0.4976
-- Validation End Logits Accuracy: 0.8479
-- Validation Start Logits Accuracy: 0.8930
-- Epoch: 0
+- Train Loss: 0.5429
+- Train End Logits Accuracy: 0.8369
+- Train Start Logits Accuracy: 0.8764
+- Validation Loss: 0.4705
+- Validation End Logits Accuracy: 0.8570
+- Validation Start Logits Accuracy: 0.9124
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.1900     | 0.6943                    | 0.7336                      | 0.4976          | 0.8479                         | 0.8930                           | 0     |
+| 0.5429     | 0.8369                    | 0.8764                      | 0.4705          | 0.8570                         | 0.9124                           | 1     |
 
 
 ### Framework versions

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