Training in progress epoch 22

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-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 5.9566
-- Train End Logits Accuracy: 0.0032
-- Train Start Logits Accuracy: 0.0021
+- Train Loss: 5.9536
+- Train End Logits Accuracy: 0.0011
+- Train Start Logits Accuracy: 0.0053
 - Validation Loss: 5.9506
 - Validation End Logits Accuracy: 0.0
 - Validation Start Logits Accuracy: 0.0
-- Epoch: 21
+- Epoch: 22
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 5.9598     | 0.0032                    | 0.0053                      | 5.9506          | 0.0031                         | 0.0                              | 19    |
 | 5.9589     | 0.0021                    | 0.0032                      | 5.9506          | 0.0063                         | 0.0031                           | 20    |
 | 5.9566     | 0.0032                    | 0.0021                      | 5.9506          | 0.0                            | 0.0                              | 21    |
+| 5.9536     | 0.0011                    | 0.0053                      | 5.9506          | 0.0                            | 0.0                              | 22    |
 
 
 ### Framework versions

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