Training in progress epoch 1

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: 1.6220
-- Train End Logits Accuracy: 0.5853
-- Train Start Logits Accuracy: 0.5458
-- Validation Loss: 1.2017
-- Validation End Logits Accuracy: 0.6771
-- Validation Start Logits Accuracy: 0.6414
-- Epoch: 0
+- Train Loss: 1.0669
+- Train End Logits Accuracy: 0.7066
+- Train Start Logits Accuracy: 0.6693
+- Validation Loss: 1.1520
+- Validation End Logits Accuracy: 0.6892
+- Validation Start Logits Accuracy: 0.6556
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.6220     | 0.5853                    | 0.5458                      | 1.2017          | 0.6771                         | 0.6414                           | 0     |
+| 1.0669     | 0.7066                    | 0.6693                      | 1.1520          | 0.6892                         | 0.6556                           | 1     |
 
 
 ### Framework versions

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