Training in progress epoch 26

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: 5.9548
+- Train Loss: 5.9640
 - Train End Logits Accuracy: 0.0032
-- Train Start Logits Accuracy: 0.0042
+- Train Start Logits Accuracy: 0.0011
 - Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.0
-- Validation Start Logits Accuracy: 0.0
-- Epoch: 24
+- Validation End Logits Accuracy: 0.0031
+- Validation Start Logits Accuracy: 0.0031
+- Epoch: 26
 
 ## Model description
 
@@ -72,6 +72,8 @@ The following hyperparameters were used during training:
 | 5.9536     | 0.0011                    | 0.0053                      | 5.9506          | 0.0                            | 0.0                              | 22    |
 | 5.9592     | 0.0021                    | 0.0021                      | 5.9506          | 0.0031                         | 0.0031                           | 23    |
 | 5.9548     | 0.0032                    | 0.0042                      | 5.9506          | 0.0                            | 0.0                              | 24    |
+| 5.9569     | 0.0                       | 0.0021                      | 5.9506          | 0.0                            | 0.0                              | 25    |
+| 5.9640     | 0.0032                    | 0.0011                      | 5.9506          | 0.0031                         | 0.0031                           | 26    |
 
 
 ### Framework versions

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

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logs/validation/events.out.tfevents.1720296527.88c67ca35cd9.2642.1.v2

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tf_model.h5

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