Training in progress epoch 5

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nandysoham/distilbert-base-uncased-finetuned-squad](https://huggingface.co/nandysoham/distilbert-base-uncased-finetuned-squad) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6858
-- Train End Logits Accuracy: 0.6905
-- Train Start Logits Accuracy: 0.6786
-- Validation Loss: 1.5630
-- Validation End Logits Accuracy: 0.3059
-- Validation Start Logits Accuracy: 0.2941
-- Epoch: 3
+- Train Loss: 0.5996
+- Train End Logits Accuracy: 0.7054
+- Train Start Logits Accuracy: 0.6994
+- Validation Loss: 2.0109
+- Validation End Logits Accuracy: 0.2118
+- Validation Start Logits Accuracy: 0.2471
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 0.9333     | 0.6101                    | 0.5833                      | 1.2828          | 0.3176                         | 0.3647                           | 1     |
 | 0.7924     | 0.6042                    | 0.5982                      | 1.4627          | 0.2824                         | 0.2824                           | 2     |
 | 0.6858     | 0.6905                    | 0.6786                      | 1.5630          | 0.3059                         | 0.2941                           | 3     |
+| 0.6562     | 0.6518                    | 0.6815                      | 1.7647          | 0.2235                         | 0.2118                           | 4     |
+| 0.5996     | 0.7054                    | 0.6994                      | 2.0109          | 0.2118                         | 0.2471                           | 5     |
 
 
 ### Framework versions

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tf_model.h5

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