Training in progress epoch 7

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: 1.1079
-- Train End Logits Accuracy: 0.6595
-- Train Start Logits Accuracy: 0.6455
-- Validation Loss: 1.2126
-- Validation End Logits Accuracy: 0.6520
-- Validation Start Logits Accuracy: 0.6865
-- Epoch: 6
+- Train Loss: 0.9827
+- Train End Logits Accuracy: 0.6843
+- Train Start Logits Accuracy: 0.7069
+- Validation Loss: 1.1469
+- Validation End Logits Accuracy: 0.7116
+- Validation Start Logits Accuracy: 0.7116
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 1.5135     | 0.5593                    | 0.5700                      | 1.4332          | 0.6050                         | 0.6238                           | 4     |
 | 1.2802     | 0.5927                    | 0.6013                      | 1.3274          | 0.6270                         | 0.6364                           | 5     |
 | 1.1079     | 0.6595                    | 0.6455                      | 1.2126          | 0.6520                         | 0.6865                           | 6     |
+| 0.9827     | 0.6843                    | 0.7069                      | 1.1469          | 0.7116                         | 0.7116                           | 7     |
 
 
 ### Framework versions

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

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tf_model.h5

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