Training in progress epoch 16

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: 5.9606
-- Train End Logits Accuracy: 0.0011
-- Train Start Logits Accuracy: 0.0
+- Train Loss: 5.9622
+- Train End Logits Accuracy: 0.0032
+- Train Start Logits Accuracy: 0.0053
 - Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.0063
+- Validation End Logits Accuracy: 0.0094
 - Validation Start Logits Accuracy: 0.0063
-- Epoch: 15
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 5.9625     | 0.0011                    | 0.0011                      | 5.9506          | 0.0                            | 0.0                              | 13    |
 | 5.9640     | 0.0                       | 0.0011                      | 5.9506          | 0.0031                         | 0.0                              | 14    |
 | 5.9606     | 0.0011                    | 0.0                         | 5.9506          | 0.0063                         | 0.0063                           | 15    |
+| 5.9622     | 0.0032                    | 0.0053                      | 5.9506          | 0.0094                         | 0.0063                           | 16    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720296444.88c67ca35cd9.2642.0.v2

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tf_model.h5

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