Training in progress epoch 5

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: 0.2690
-- Train End Logits Accuracy: 0.9131
-- Train Start Logits Accuracy: 0.9313
-- Validation Loss: 0.5861
-- Validation End Logits Accuracy: 0.8545
-- Validation Start Logits Accuracy: 0.9035
-- Epoch: 4
+- 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
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.4630     | 0.8631                    | 0.8954                      | 0.5086          | 0.8671                         | 0.9119                           | 2     |
 | 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     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1692771749.7d0470c98178.316.0.v2

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tf_model.h5

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