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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1613
-- Train End Logits Accuracy: 0.7038
-- Train Start Logits Accuracy: 0.6632
-- Validation Loss: 0.8676
-- Validation End Logits Accuracy: 0.7626
-- Validation Start Logits Accuracy: 0.7342
-- Epoch: 0
+- Train Loss: 0.7054
+- Train End Logits Accuracy: 0.8022
+- Train Start Logits Accuracy: 0.7586
+- Validation Loss: 0.8224
+- Validation End Logits Accuracy: 0.7692
+- Validation Start Logits Accuracy: 0.7402
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.1613     | 0.7038                    | 0.6632                      | 0.8676          | 0.7626                         | 0.7342                           | 0     |
+| 0.7054     | 0.8022                    | 0.7586                      | 0.8224          | 0.7692                         | 0.7402                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1669865089.18b6d1c59625.115.0.v2

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tf_model.h5

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