Training in progress epoch 45

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: 0.0921
+- Train Loss: 0.0931
 - Train End Logits Accuracy: 0.9559
-- Train Start Logits Accuracy: 0.9643
-- Validation Loss: 1.2621
-- Validation End Logits Accuracy: 0.8056
+- Train Start Logits Accuracy: 0.9685
+- Validation Loss: 1.2632
+- Validation End Logits Accuracy: 0.8088
 - Validation Start Logits Accuracy: 0.8088
-- Epoch: 44
+- Epoch: 45
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.0921     | 0.9559                    | 0.9643                      | 1.2621          | 0.8056                         | 0.8088                           | 44    |
+| 0.0931     | 0.9559                    | 0.9685                      | 1.2632          | 0.8088                         | 0.8088                           | 45    |
 
 
 ### Framework versions

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

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tf_model.h5

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