Training in progress epoch 44

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: 0.2145
-- Train End Logits Accuracy: 0.9235
-- Train Start Logits Accuracy: 0.9300
-- Validation Loss: 1.0584
+- Train Loss: 0.2264
+- Train End Logits Accuracy: 0.9073
+- Train Start Logits Accuracy: 0.9289
+- Validation Loss: 1.0520
 - Validation End Logits Accuracy: 0.8025
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 43
+- Validation Start Logits Accuracy: 0.8119
+- Epoch: 44
 
 ## Model description
 
@@ -91,6 +91,7 @@ The following hyperparameters were used during training:
 | 0.2288     | 0.9332                    | 0.9149                      | 1.0579          | 0.8056                         | 0.8056                           | 41    |
 | 0.2444     | 0.9127                    | 0.9127                      | 1.0522          | 0.8056                         | 0.8119                           | 42    |
 | 0.2145     | 0.9235                    | 0.9300                      | 1.0584          | 0.8025                         | 0.8088                           | 43    |
+| 0.2264     | 0.9073                    | 0.9289                      | 1.0520          | 0.8025                         | 0.8119                           | 44    |
 
 
 ### Framework versions

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