Training in progress epoch 25

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: 0.1821
-- Train End Logits Accuracy: 0.9349
-- Train Start Logits Accuracy: 0.9443
-- Validation Loss: 1.1657
-- Validation End Logits Accuracy: 0.7806
+- Train Loss: 0.1683
+- Train End Logits Accuracy: 0.9328
+- Train Start Logits Accuracy: 0.9464
+- Validation Loss: 1.1684
+- Validation End Logits Accuracy: 0.7994
 - Validation Start Logits Accuracy: 0.8088
-- Epoch: 24
+- Epoch: 25
 
 ## Model description
 
@@ -72,6 +72,7 @@ The following hyperparameters were used during training:
 | 0.1787     | 0.9202                    | 0.9548                      | 1.2073          | 0.7806                         | 0.8056                           | 22    |
 | 0.2013     | 0.9233                    | 0.9485                      | 1.1615          | 0.7962                         | 0.7994                           | 23    |
 | 0.1821     | 0.9349                    | 0.9443                      | 1.1657          | 0.7806                         | 0.8088                           | 24    |
+| 0.1683     | 0.9328                    | 0.9464                      | 1.1684          | 0.7994                         | 0.8088                           | 25    |
 
 
 ### Framework versions

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tf_model.h5

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