Training in progress epoch 10

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: 5.9596
+- Train Loss: 5.9648
 - Train End Logits Accuracy: 0.0021
-- Train Start Logits Accuracy: 0.0032
+- Train Start Logits Accuracy: 0.0021
 - Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.0
-- Validation Start Logits Accuracy: 0.0031
-- Epoch: 9
+- Validation End Logits Accuracy: 0.0094
+- Validation Start Logits Accuracy: 0.0063
+- Epoch: 10
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 5.9657     | 0.0064                    | 0.0032                      | 5.9506          | 0.0031                         | 0.0188                           | 7     |
 | 5.9617     | 0.0021                    | 0.0032                      | 5.9506          | 0.0031                         | 0.0063                           | 8     |
 | 5.9596     | 0.0021                    | 0.0032                      | 5.9506          | 0.0                            | 0.0031                           | 9     |
+| 5.9648     | 0.0021                    | 0.0021                      | 5.9506          | 0.0094                         | 0.0063                           | 10    |
 
 
 ### Framework versions

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tf_model.h5

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