Training in progress epoch 2

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: 0.5374
-- Train End Logits Accuracy: 0.8328
-- Train Start Logits Accuracy: 0.8737
-- Validation Loss: 0.4915
-- Validation End Logits Accuracy: 0.8570
-- Validation Start Logits Accuracy: 0.8943
-- Epoch: 1
+- Train Loss: 0.3207
+- Train End Logits Accuracy: 0.8945
+- Train Start Logits Accuracy: 0.9240
+- Validation Loss: 0.4883
+- Validation End Logits Accuracy: 0.8621
+- Validation Start Logits Accuracy: 0.9124
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2099     | 0.6849                    | 0.7242                      | 0.5171          | 0.8454                         | 0.8930                           | 0     |
 | 0.5374     | 0.8328                    | 0.8737                      | 0.4915          | 0.8570                         | 0.8943                           | 1     |
+| 0.3207     | 0.8945                    | 0.9240                      | 0.4883          | 0.8621                         | 0.9124                           | 2     |
 
 
 ### Framework versions

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tf_model.h5

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