End of training

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0842
-- Train End Logits Accuracy: 0.6032
-- Train Start Logits Accuracy: 0.5767
-- Validation Loss: 1.1372
-- Validation End Logits Accuracy: 0.5166
-- Validation Start Logits Accuracy: 0.5058
-- Epoch: 0
+- Train Loss: 0.7633
+- Train End Logits Accuracy: 0.6680
+- Train Start Logits Accuracy: 0.6407
+- Validation Loss: 1.1441
+- Validation End Logits Accuracy: 0.5277
+- Validation Start Logits Accuracy: 0.5106
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.0842     | 0.6032                    | 0.5767                      | 1.1372          | 0.5166                         | 0.5058                           | 0     |
+| 0.7633     | 0.6680                    | 0.6407                      | 1.1441          | 0.5277                         | 0.5106                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1667997275.ca4928603c5d.106.2.v2

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tf_model.h5

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