Training in progress epoch 35

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: 0.0222
-- Train End Logits Accuracy: 0.9863
+- Train Loss: 0.0216
+- Train End Logits Accuracy: 0.9884
 - Train Start Logits Accuracy: 0.9947
-- Validation Loss: 1.7854
-- Validation End Logits Accuracy: 0.7837
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 34
+- Validation Loss: 1.5707
+- Validation End Logits Accuracy: 0.7931
+- Validation Start Logits Accuracy: 0.8025
+- Epoch: 35
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0182     | 0.9905                    | 0.9926                      | 1.8756          | 0.7837                         | 0.7994                           | 32    |
 | 0.0252     | 0.9832                    | 0.9947                      | 1.8182          | 0.7837                         | 0.7962                           | 33    |
 | 0.0222     | 0.9863                    | 0.9947                      | 1.7854          | 0.7837                         | 0.7931                           | 34    |
+| 0.0216     | 0.9884                    | 0.9947                      | 1.5707          | 0.7931                         | 0.8025                           | 35    |
 
 
 ### Framework versions

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