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: 0.8499
-- Train End Logits Accuracy: 0.7860
-- Train Start Logits Accuracy: 0.8197
-- Validation Loss: 0.4706
-- Validation End Logits Accuracy: 0.8544
-- Validation Start Logits Accuracy: 0.9034
-- Epoch: 1
+- Train Loss: 0.6196
+- Train End Logits Accuracy: 0.8392
+- Train Start Logits Accuracy: 0.8680
+- Validation Loss: 0.4734
+- Validation End Logits Accuracy: 0.8634
+- Validation Start Logits Accuracy: 0.9008
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5040     | 0.6478                    | 0.6786                      | 0.5486          | 0.8299                         | 0.8840                           | 0     |
 | 0.8499     | 0.7860                    | 0.8197                      | 0.4706          | 0.8544                         | 0.9034                           | 1     |
+| 0.6196     | 0.8392                    | 0.8680                      | 0.4734          | 0.8634                         | 0.9008                           | 2     |
 
 
 ### Framework versions

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tf_model.h5

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