Training in progress epoch 48

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: 0.2166
-- Train End Logits Accuracy: 0.9116
-- Train Start Logits Accuracy: 0.9203
-- Validation Loss: 1.0554
-- Validation End Logits Accuracy: 0.8088
+- Train Loss: 0.2184
+- Train End Logits Accuracy: 0.9138
+- Train Start Logits Accuracy: 0.9397
+- Validation Loss: 1.0568
+- Validation End Logits Accuracy: 0.8119
 - Validation Start Logits Accuracy: 0.8088
-- Epoch: 47
+- Epoch: 48
 
 ## Model description
 
@@ -95,6 +95,7 @@ The following hyperparameters were used during training:
 | 0.2120     | 0.9213                    | 0.9429                      | 1.0591          | 0.8119                         | 0.8088                           | 45    |
 | 0.2280     | 0.9127                    | 0.9235                      | 1.0538          | 0.8088                         | 0.8056                           | 46    |
 | 0.2166     | 0.9116                    | 0.9203                      | 1.0554          | 0.8088                         | 0.8088                           | 47    |
+| 0.2184     | 0.9138                    | 0.9397                      | 1.0568          | 0.8119                         | 0.8088                           | 48    |
 
 
 ### Framework versions

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

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tf_model.h5

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