Training in progress epoch 38

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: 0.0146
-- Train End Logits Accuracy: 0.9926
-- Train Start Logits Accuracy: 0.9926
-- Validation Loss: 1.7827
+- Train Loss: 0.0148
+- Train End Logits Accuracy: 0.9905
+- Train Start Logits Accuracy: 0.9947
+- Validation Loss: 1.8678
 - Validation End Logits Accuracy: 0.7868
-- Validation Start Logits Accuracy: 0.7962
-- Epoch: 37
+- Validation Start Logits Accuracy: 0.7931
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.0216     | 0.9884                    | 0.9947                      | 1.5707          | 0.7931                         | 0.8025                           | 35    |
 | 0.0161     | 0.9937                    | 0.9916                      | 1.7071          | 0.7806                         | 0.8025                           | 36    |
 | 0.0146     | 0.9926                    | 0.9926                      | 1.7827          | 0.7868                         | 0.7962                           | 37    |
+| 0.0148     | 0.9905                    | 0.9947                      | 1.8678          | 0.7868                         | 0.7931                           | 38    |
 
 
 ### Framework versions

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