Training in progress epoch 13

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: 0.6421
-- Train End Logits Accuracy: 0.7866
-- Train Start Logits Accuracy: 0.8071
-- Validation Loss: 1.0298
-- Validation End Logits Accuracy: 0.7492
-- Validation Start Logits Accuracy: 0.7555
-- Epoch: 12
+- Train Loss: 0.5949
+- Train End Logits Accuracy: 0.8006
+- Train Start Logits Accuracy: 0.8050
+- Validation Loss: 0.9877
+- Validation End Logits Accuracy: 0.7586
+- Validation Start Logits Accuracy: 0.7774
+- Epoch: 13
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 0.7245     | 0.7403                    | 0.7877                      | 1.0371          | 0.7304                         | 0.7398                           | 10    |
 | 0.6827     | 0.7683                    | 0.7856                      | 1.0185          | 0.7492                         | 0.7461                           | 11    |
 | 0.6421     | 0.7866                    | 0.8071                      | 1.0298          | 0.7492                         | 0.7555                           | 12    |
+| 0.5949     | 0.8006                    | 0.8050                      | 0.9877          | 0.7586                         | 0.7774                           | 13    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720241628.168f4cd3ffa1.187.0.v2

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tf_model.h5

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