Training in progress epoch 32

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: 5.9569
+- Train Loss: 5.9580
 - Train End Logits Accuracy: 0.0011
 - Train Start Logits Accuracy: 0.0021
 - Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.0094
-- Validation Start Logits Accuracy: 0.0063
-- Epoch: 31
+- Validation End Logits Accuracy: 0.0063
+- Validation Start Logits Accuracy: 0.0
+- Epoch: 32
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 5.9563     | 0.0021                    | 0.0032                      | 5.9506          | 0.0063                         | 0.0063                           | 29    |
 | 5.9585     | 0.0032                    | 0.0032                      | 5.9506          | 0.0                            | 0.0094                           | 30    |
 | 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    |
 
 
 ### Framework versions

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

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tf_model.h5

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