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: 0.0964
-- Train End Logits Accuracy: 0.9653
-- Train Start Logits Accuracy: 0.9685
-- Validation Loss: 1.2468
-- Validation End Logits Accuracy: 0.7900
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 37
+- Train Loss: 0.1000
+- Train End Logits Accuracy: 0.9559
+- Train Start Logits Accuracy: 0.9664
+- Validation Loss: 1.2422
+- Validation End Logits Accuracy: 0.7962
+- Validation Start Logits Accuracy: 0.8056
+- Epoch: 38
 
 ## Model description
 
@@ -85,6 +85,7 @@ The following hyperparameters were used during training:
 | 0.1048     | 0.9538                    | 0.9674                      | 1.2632          | 0.7900                         | 0.8056                           | 35    |
 | 0.1056     | 0.9475                    | 0.9706                      | 1.2485          | 0.7931                         | 0.8088                           | 36    |
 | 0.0964     | 0.9653                    | 0.9685                      | 1.2468          | 0.7900                         | 0.8088                           | 37    |
+| 0.1000     | 0.9559                    | 0.9664                      | 1.2422          | 0.7962                         | 0.8056                           | 38    |
 
 
 ### Framework versions

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