Training in progress epoch 12

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: 0.1958
-- Train End Logits Accuracy: 0.9440
-- Train Start Logits Accuracy: 0.9333
-- Validation Loss: 3.5149
-- Validation End Logits Accuracy: 0.5335
-- Validation Start Logits Accuracy: 0.4860
-- Epoch: 11
+- Train Loss: 0.1649
+- Train End Logits Accuracy: 0.9521
+- Train Start Logits Accuracy: 0.9433
+- Validation Loss: 3.4351
+- Validation End Logits Accuracy: 0.5424
+- Validation Start Logits Accuracy: 0.4975
+- Epoch: 12
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.2981     | 0.9177                    | 0.8983                      | 3.1868          | 0.5270                         | 0.4759                           | 9     |
 | 0.2453     | 0.9318                    | 0.9156                      | 3.3015          | 0.5347                         | 0.4951                           | 10    |
 | 0.1958     | 0.9440                    | 0.9333                      | 3.5149          | 0.5335                         | 0.4860                           | 11    |
+| 0.1649     | 0.9521                    | 0.9433                      | 3.4351          | 0.5424                         | 0.4975                           | 12    |
 
 
 ### Framework versions

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