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: 0.2780
-- Train End Logits Accuracy: 0.8847
-- Train Start Logits Accuracy: 0.9073
-- Validation Loss: 1.0595
-- Validation End Logits Accuracy: 0.7962
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 33
+- Train Loss: 0.2641
+- Train End Logits Accuracy: 0.8955
+- Train Start Logits Accuracy: 0.9138
+- Validation Loss: 1.0503
+- Validation End Logits Accuracy: 0.7868
+- Validation Start Logits Accuracy: 0.8025
+- Epoch: 34
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 0.2727     | 0.8933                    | 0.9213                      | 1.0483          | 0.7806                         | 0.7931                           | 31    |
 | 0.2728     | 0.8976                    | 0.9062                      | 1.0459          | 0.7868                         | 0.8088                           | 32    |
 | 0.2780     | 0.8847                    | 0.9073                      | 1.0595          | 0.7962                         | 0.8056                           | 33    |
+| 0.2641     | 0.8955                    | 0.9138                      | 1.0503          | 0.7868                         | 0.8025                           | 34    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720241628.168f4cd3ffa1.187.0.v2

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logs/validation/events.out.tfevents.1720241713.168f4cd3ffa1.187.1.v2

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tf_model.h5

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