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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2135
-- Train End Logits Accuracy: 0.6654
-- Train Start Logits Accuracy: 0.6514
+- Train Loss: 1.2056
+- Train End Logits Accuracy: 0.6702
+- Train Start Logits Accuracy: 0.6596
 - Validation Loss: 1.4662
 - Validation End Logits Accuracy: 0.6175
 - Validation Start Logits Accuracy: 0.6015
-- Epoch: 0
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2135     | 0.6654                    | 0.6514                      | 1.4662          | 0.6175                         | 0.6015                           | 0     |
+| 1.2056     | 0.6702                    | 0.6596                      | 1.4662          | 0.6175                         | 0.6015                           | 1     |
 
 
 ### Framework versions