Training in progress epoch 50

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: 0.0170
-- Train End Logits Accuracy: 0.9937
-- Train Start Logits Accuracy: 0.9905
-- Validation Loss: 0.6826
-- Validation End Logits Accuracy: 0.8840
-- Validation Start Logits Accuracy: 0.8715
-- Epoch: 49
+- Train Loss: 0.0173
+- Train End Logits Accuracy: 0.9926
+- Train Start Logits Accuracy: 0.9937
+- Validation Loss: 0.6833
+- Validation End Logits Accuracy: 0.8809
+- Validation Start Logits Accuracy: 0.8746
+- Epoch: 50
 
 ## Model description
 
@@ -97,6 +97,7 @@ The following hyperparameters were used during training:
 | 0.0188     | 0.9947                    | 0.9916                      | 0.6901          | 0.8809                         | 0.8652                           | 47    |
 | 0.0150     | 0.9958                    | 0.9926                      | 0.6845          | 0.8809                         | 0.8715                           | 48    |
 | 0.0170     | 0.9937                    | 0.9905                      | 0.6826          | 0.8840                         | 0.8715                           | 49    |
+| 0.0173     | 0.9926                    | 0.9937                      | 0.6833          | 0.8809                         | 0.8746                           | 50    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1718762965.d4bf1290a8ef.305.0.v2

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tf_model.h5

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