Training in progress epoch 2

README.md

@@ -14,13 +14,13 @@ 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: 1.8250
-- Train End Logits Accuracy: 0.5445
-- Train Start Logits Accuracy: 0.5084
+- Train Loss: 1.5596
+- Train End Logits Accuracy: 0.6117
+- Train Start Logits Accuracy: 0.5664
 - Validation Loss: 1.8418
 - Validation End Logits Accuracy: 0.5513
 - Validation Start Logits Accuracy: 0.5132
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 3.4205     | 0.2064                    | 0.2092                      | 2.2886          | 0.4370                         | 0.3773                           | 0     |
 | 1.8250     | 0.5445                    | 0.5084                      | 1.8418          | 0.5513                         | 0.5132                           | 1     |
+| 1.5596     | 0.6117                    | 0.5664                      | 1.8418          | 0.5513                         | 0.5132                           | 2     |
 
 
 ### Framework versions