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: 5.9297
+- Train Loss: 5.8513
 - Train End Logits Accuracy: 0.0
-- Train Start Logits Accuracy: 0.0208
-- Validation Loss: 5.9075
+- Train Start Logits Accuracy: 0.0
+- Validation Loss: 5.8678
 - Validation End Logits Accuracy: 0.0
 - Validation Start Logits Accuracy: 0.0
-- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 5.9297     | 0.0                       | 0.0208                      | 5.9075          | 0.0                            | 0.0                              | 0     |
+| 5.8513     | 0.0                       | 0.0                         | 5.8678          | 0.0                            | 0.0                              | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1668437669.66ddcf3f4a1b.76.2.v2

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tf_model.h5

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