Training in progress epoch 23

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: 0.1787
-- Train End Logits Accuracy: 0.9202
-- Train Start Logits Accuracy: 0.9548
-- Validation Loss: 1.2073
-- Validation End Logits Accuracy: 0.7806
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 22
+- Train Loss: 0.2013
+- Train End Logits Accuracy: 0.9233
+- Train Start Logits Accuracy: 0.9485
+- Validation Loss: 1.1615
+- Validation End Logits Accuracy: 0.7962
+- Validation Start Logits Accuracy: 0.7994
+- Epoch: 23
 
 ## Model description
 
@@ -70,6 +70,7 @@ The following hyperparameters were used during training:
 | 0.2029     | 0.9170                    | 0.9475                      | 1.1659          | 0.8025                         | 0.8150                           | 20    |
 | 0.1939     | 0.9170                    | 0.9422                      | 1.2030          | 0.7712                         | 0.8150                           | 21    |
 | 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    |
 
 
 ### Framework versions

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