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: 1.2702
-- Train End Logits Accuracy: 0.6758
-- Train Start Logits Accuracy: 0.7111
-- Validation Loss: 0.5035
-- Validation End Logits Accuracy: 0.8454
-- Validation Start Logits Accuracy: 0.8866
-- Epoch: 0
+- Train Loss: 0.5651
+- Train End Logits Accuracy: 0.8308
+- Train Start Logits Accuracy: 0.8674
+- Validation Loss: 0.4656
+- Validation End Logits Accuracy: 0.8570
+- Validation Start Logits Accuracy: 0.9046
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2702     | 0.6758                    | 0.7111                      | 0.5035          | 0.8454                         | 0.8866                           | 0     |
+| 0.5651     | 0.8308                    | 0.8674                      | 0.4656          | 0.8570                         | 0.9046                           | 1     |
 
 
 ### Framework versions

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tf_model.h5

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