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: 1.6197
-- Train End Logits Accuracy: 0.5830
-- Train Start Logits Accuracy: 0.5477
-- Validation Loss: 1.3354
-- Validation End Logits Accuracy: 0.6514
-- Validation Start Logits Accuracy: 0.6252
-- Epoch: 0
+- Train Loss: 0.9755
+- Train End Logits Accuracy: 0.7326
+- Train Start Logits Accuracy: 0.6950
+- Validation Loss: 1.2886
+- Validation End Logits Accuracy: 0.6681
+- Validation Start Logits Accuracy: 0.6373
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.6197     | 0.5830                    | 0.5477                      | 1.3354          | 0.6514                         | 0.6252                           | 0     |
+| 0.9755     | 0.7326                    | 0.6950                      | 1.2886          | 0.6681                         | 0.6373                           | 1     |
 
 
 ### Framework versions

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