Training in progress epoch 28

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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0181
-- Train End Logits Accuracy: 0.9951
-- Train Start Logits Accuracy: 0.9943
-- Validation Loss: 4.6989
-- Validation End Logits Accuracy: 0.5480
-- Validation Start Logits Accuracy: 0.5066
-- Epoch: 27
+- Train Loss: 0.0161
+- Train End Logits Accuracy: 0.9953
+- Train Start Logits Accuracy: 0.9947
+- Validation Loss: 4.6873
+- Validation End Logits Accuracy: 0.5466
+- Validation Start Logits Accuracy: 0.4995
+- Epoch: 28
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 0.0257     | 0.9925                    | 0.9916                      | 4.6541          | 0.5503                         | 0.5122                           | 25    |
 | 0.0229     | 0.9935                    | 0.9925                      | 4.4773          | 0.5433                         | 0.4985                           | 26    |
 | 0.0181     | 0.9951                    | 0.9943                      | 4.6989          | 0.5480                         | 0.5066                           | 27    |
+| 0.0161     | 0.9953                    | 0.9947                      | 4.6873          | 0.5466                         | 0.4995                           | 28    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1714851440.98b139b24dd6.34.0.v2

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logs/validation/events.out.tfevents.1714852237.98b139b24dd6.34.1.v2

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tf_model.h5

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