Training in progress epoch 40

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: 0.0989
-- Train End Logits Accuracy: 0.9601
-- Train Start Logits Accuracy: 0.9653
-- Validation Loss: 1.2620
-- Validation End Logits Accuracy: 0.8025
+- Train Loss: 0.1024
+- Train End Logits Accuracy: 0.9590
+- Train Start Logits Accuracy: 0.9674
+- Validation Loss: 1.2528
+- Validation End Logits Accuracy: 0.7994
 - Validation Start Logits Accuracy: 0.8056
-- Epoch: 39
+- Epoch: 40
 
 ## Model description
 
@@ -87,6 +87,7 @@ The following hyperparameters were used during training:
 | 0.0964     | 0.9653                    | 0.9685                      | 1.2468          | 0.7900                         | 0.8088                           | 37    |
 | 0.1000     | 0.9559                    | 0.9664                      | 1.2422          | 0.7962                         | 0.8056                           | 38    |
 | 0.0989     | 0.9601                    | 0.9653                      | 1.2620          | 0.8025                         | 0.8056                           | 39    |
+| 0.1024     | 0.9590                    | 0.9674                      | 1.2528          | 0.7994                         | 0.8056                           | 40    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720301684.1b2060c99fb7.1295.0.v2

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tf_model.h5

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