Training in progress epoch 8

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: 0.4132
-- Train End Logits Accuracy: 0.8313
-- Train Start Logits Accuracy: 0.8938
-- Validation Loss: 1.6252
-- Validation End Logits Accuracy: 0.5714
-- Validation Start Logits Accuracy: 0.5
-- Epoch: 4
+- Train Loss: 0.1838
+- Train End Logits Accuracy: 0.9500
+- Train Start Logits Accuracy: 0.9688
+- Validation Loss: 2.0017
+- Validation End Logits Accuracy: 0.5238
+- Validation Start Logits Accuracy: 0.4762
+- Epoch: 8
 
 ## Model description
 
@@ -51,6 +51,10 @@ The following hyperparameters were used during training:
 | 0.8752     | 0.7000                    | 0.7375                      | 1.4402          | 0.5952                         | 0.5476                           | 2     |
 | 0.5245     | 0.8250                    | 0.8438                      | 1.5027          | 0.6429                         | 0.5952                           | 3     |
 | 0.4132     | 0.8313                    | 0.8938                      | 1.6252          | 0.5714                         | 0.5                              | 4     |
+| 0.3140     | 0.9000                    | 0.9062                      | 1.7524          | 0.5476                         | 0.4762                           | 5     |
+| 0.2534     | 0.9688                    | 0.9312                      | 1.8646          | 0.5238                         | 0.4762                           | 6     |
+| 0.1999     | 0.9500                    | 0.9563                      | 1.9513          | 0.5238                         | 0.4762                           | 7     |
+| 0.1838     | 0.9500                    | 0.9688                      | 2.0017          | 0.5238                         | 0.4762                           | 8     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1674141640.19bdc3439322.302.0.v2

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tf_model.h5

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