Training in progress epoch 34

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: 5.9532
-- Train End Logits Accuracy: 0.0032
-- Train Start Logits Accuracy: 0.0011
+- Train Loss: 5.9523
+- Train End Logits Accuracy: 0.0021
+- Train Start Logits Accuracy: 0.0032
 - Validation Loss: 5.9506
 - Validation End Logits Accuracy: 0.0
-- Validation Start Logits Accuracy: 0.0063
-- Epoch: 33
+- Validation Start Logits Accuracy: 0.0
+- Epoch: 34
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 5.9569     | 0.0011                    | 0.0021                      | 5.9506          | 0.0094                         | 0.0063                           | 31    |
 | 5.9580     | 0.0011                    | 0.0021                      | 5.9506          | 0.0063                         | 0.0                              | 32    |
 | 5.9532     | 0.0032                    | 0.0011                      | 5.9506          | 0.0                            | 0.0063                           | 33    |
+| 5.9523     | 0.0021                    | 0.0032                      | 5.9506          | 0.0                            | 0.0                              | 34    |
 
 
 ### Framework versions

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tf_model.h5

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