Training in progress epoch 9

README.md

@@ -14,13 +14,13 @@ 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: 0.1719
-- Train End Logits Accuracy: 0.9436
-- Train Start Logits Accuracy: 0.9442
-- Validation Loss: 1.8572
-- Validation End Logits Accuracy: 0.6534
-- Validation Start Logits Accuracy: 0.6445
-- Epoch: 8
+- Train Loss: 0.1488
+- Train End Logits Accuracy: 0.9536
+- Train Start Logits Accuracy: 0.9542
+- Validation Loss: 1.8833
+- Validation End Logits Accuracy: 0.6524
+- Validation Start Logits Accuracy: 0.6465
+- Epoch: 9
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.2596     | 0.9144                    | 0.9223                      | 1.6924          | 0.6524                         | 0.6426                           | 6     |
 | 0.2055     | 0.9358                    | 0.9374                      | 1.7831          | 0.6490                         | 0.6480                           | 7     |
 | 0.1719     | 0.9436                    | 0.9442                      | 1.8572          | 0.6534                         | 0.6445                           | 8     |
+| 0.1488     | 0.9536                    | 0.9542                      | 1.8833          | 0.6524                         | 0.6465                           | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265583592