Training in progress epoch 43

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: 0.2288
-- Train End Logits Accuracy: 0.9332
-- Train Start Logits Accuracy: 0.9149
-- Validation Loss: 1.0579
-- Validation End Logits Accuracy: 0.8056
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 41
+- Train Loss: 0.2145
+- Train End Logits Accuracy: 0.9235
+- Train Start Logits Accuracy: 0.9300
+- Validation Loss: 1.0584
+- Validation End Logits Accuracy: 0.8025
+- Validation Start Logits Accuracy: 0.8088
+- Epoch: 43
 
 ## Model description
 
@@ -89,6 +89,8 @@ The following hyperparameters were used during training:
 | 0.2409     | 0.9149                    | 0.9224                      | 1.0452          | 0.8025                         | 0.8088                           | 39    |
 | 0.2271     | 0.9181                    | 0.9246                      | 1.0487          | 0.7962                         | 0.8119                           | 40    |
 | 0.2288     | 0.9332                    | 0.9149                      | 1.0579          | 0.8056                         | 0.8056                           | 41    |
+| 0.2444     | 0.9127                    | 0.9127                      | 1.0522          | 0.8056                         | 0.8119                           | 42    |
+| 0.2145     | 0.9235                    | 0.9300                      | 1.0584          | 0.8025                         | 0.8088                           | 43    |
 
 
 ### Framework versions

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

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tf_model.h5

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