Training in progress epoch 6

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC](https://huggingface.co/vnktrmnb/xlm-roberta-base-FT-TyDiQA_AUQC) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2047
-- Train End Logits Accuracy: 0.9312
-- Train Start Logits Accuracy: 0.9485
-- Validation Loss: 0.6629
-- Validation End Logits Accuracy: 0.8601
-- Validation Start Logits Accuracy: 0.9021
-- Epoch: 5
+- Train Loss: 0.1588
+- Train End Logits Accuracy: 0.9455
+- Train Start Logits Accuracy: 0.9579
+- Validation Loss: 0.6655
+- Validation End Logits Accuracy: 0.8615
+- Validation Start Logits Accuracy: 0.9035
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.3575     | 0.8913                    | 0.9164                      | 0.5528          | 0.8615                         | 0.8993                           | 3     |
 | 0.2690     | 0.9131                    | 0.9313                      | 0.5861          | 0.8545                         | 0.9035                           | 4     |
 | 0.2047     | 0.9312                    | 0.9485                      | 0.6629          | 0.8601                         | 0.9021                           | 5     |
+| 0.1588     | 0.9455                    | 0.9579                      | 0.6655          | 0.8615                         | 0.9035                           | 6     |
 
 
 ### Framework versions

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tf_model.h5

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