Training in progress epoch 43

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: 0.0913
-- Train End Logits Accuracy: 0.9580
-- Train Start Logits Accuracy: 0.9685
-- Validation Loss: 1.2538
+- Train Loss: 0.0923
+- Train End Logits Accuracy: 0.9664
+- Train Start Logits Accuracy: 0.9632
+- Validation Loss: 1.2619
 - Validation End Logits Accuracy: 0.8025
 - Validation Start Logits Accuracy: 0.8056
-- Epoch: 42
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.1024     | 0.9590                    | 0.9674                      | 1.2528          | 0.7994                         | 0.8056                           | 40    |
 | 0.0917     | 0.9548                    | 0.9716                      | 1.2506          | 0.7931                         | 0.8088                           | 41    |
 | 0.0913     | 0.9580                    | 0.9685                      | 1.2538          | 0.8025                         | 0.8056                           | 42    |
+| 0.0923     | 0.9664                    | 0.9632                      | 1.2619          | 0.8025                         | 0.8056                           | 43    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720301684.1b2060c99fb7.1295.0.v2

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