Training in progress epoch 19

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: 0.0578
-- Train End Logits Accuracy: 0.9828
-- Train Start Logits Accuracy: 0.9797
-- Validation Loss: 4.1311
-- Validation End Logits Accuracy: 0.5358
-- Validation Start Logits Accuracy: 0.4942
-- Epoch: 18
+- Train Loss: 0.0509
+- Train End Logits Accuracy: 0.9857
+- Train Start Logits Accuracy: 0.9824
+- Validation Loss: 4.2251
+- Validation End Logits Accuracy: 0.5322
+- Validation Start Logits Accuracy: 0.4891
+- Epoch: 19
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.0824     | 0.9769                    | 0.9715                      | 4.1327          | 0.5210                         | 0.4842                           | 16    |
 | 0.0674     | 0.9809                    | 0.9757                      | 4.1439          | 0.5293                         | 0.4901                           | 17    |
 | 0.0578     | 0.9828                    | 0.9797                      | 4.1311          | 0.5358                         | 0.4942                           | 18    |
+| 0.0509     | 0.9857                    | 0.9824                      | 4.2251          | 0.5322                         | 0.4891                           | 19    |
 
 
 ### Framework versions

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