Training in progress epoch 19

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4424
-- Train End Logits Accuracy: 0.8459
-- Train Start Logits Accuracy: 0.8696
-- Validation Loss: 0.9951
-- Validation End Logits Accuracy: 0.7712
-- Validation Start Logits Accuracy: 0.8025
-- Epoch: 18
+- Train Loss: 0.3928
+- Train End Logits Accuracy: 0.8599
+- Train Start Logits Accuracy: 0.8966
+- Validation Loss: 1.0173
+- Validation End Logits Accuracy: 0.7618
+- Validation Start Logits Accuracy: 0.7931
+- Epoch: 19
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.4916     | 0.8330                    | 0.8599                      | 0.9917          | 0.7398                         | 0.8025                           | 16    |
 | 0.4521     | 0.8373                    | 0.8836                      | 0.9698          | 0.7680                         | 0.7868                           | 17    |
 | 0.4424     | 0.8459                    | 0.8696                      | 0.9951          | 0.7712                         | 0.8025                           | 18    |
+| 0.3928     | 0.8599                    | 0.8966                      | 1.0173          | 0.7618                         | 0.7931                           | 19    |
 
 
 ### Framework versions

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tf_model.h5

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