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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.3543
-- Train End Logits Accuracy: 0.5058
-- Train Start Logits Accuracy: 0.4992
-- Validation Loss: 2.0820
-- Validation End Logits Accuracy: 0.5253
-- Validation Start Logits Accuracy: 0.4917
-- Epoch: 0
+- Train Loss: 1.7185
+- Train End Logits Accuracy: 0.5917
+- Train Start Logits Accuracy: 0.5638
+- Validation Loss: 2.0391
+- Validation End Logits Accuracy: 0.5252
+- Validation Start Logits Accuracy: 0.4886
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 2.3543     | 0.5058                    | 0.4992                      | 2.0820          | 0.5253                         | 0.4917                           | 0     |
+| 1.7185     | 0.5917                    | 0.5638                      | 2.0391          | 0.5252                         | 0.4886                           | 1     |
 
 
 ### Framework versions

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