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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2209
-- Train End Logits Accuracy: 0.9205
-- Train Start Logits Accuracy: 0.9017
-- Validation Loss: 0.3867
+- Train Loss: 0.5490
+- Train End Logits Accuracy: 0.9403
+- Train Start Logits Accuracy: 0.9403
+- Validation Loss: 0.3567
 - Validation End Logits Accuracy: 0.9612
 - Validation Start Logits Accuracy: 0.9612
-- Epoch: 0
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2209     | 0.9205                    | 0.9017                      | 0.3867          | 0.9612                         | 0.9612                           | 0     |
+| 0.5490     | 0.9403                    | 0.9403                      | 0.3567          | 0.9612                         | 0.9612                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1660205262.1858cd8db59f.64.3.v2

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tf_model.h5

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