End of training

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: 2.8328
-- Train End Logits Accuracy: 0.4688
-- Train Start Logits Accuracy: 0.4688
-- Validation Loss: 0.4384
-- Validation End Logits Accuracy: 0.8846
-- Validation Start Logits Accuracy: 0.8846
-- Epoch: 0
+- Train Loss: 0.1525
+- Train End Logits Accuracy: 0.9896
+- Train Start Logits Accuracy: 1.0
+- Validation Loss: 0.1627
+- Validation End Logits Accuracy: 1.0
+- Validation Start Logits Accuracy: 1.0
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 2.8328     | 0.4688                    | 0.4688                      | 0.4384          | 0.8846                         | 0.8846                           | 0     |
+| 0.1525     | 0.9896                    | 1.0                         | 0.1627          | 1.0                            | 1.0                              | 1     |
 
 
 ### Framework versions

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tf_model.h5

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