Training in progress epoch 8

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: 5.9657
-- Train End Logits Accuracy: 0.0064
+- Train Loss: 5.9617
+- Train End Logits Accuracy: 0.0021
 - Train Start Logits Accuracy: 0.0032
 - Validation Loss: 5.9506
 - Validation End Logits Accuracy: 0.0031
-- Validation Start Logits Accuracy: 0.0188
-- Epoch: 7
+- Validation Start Logits Accuracy: 0.0063
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 5.9718     | 0.0                       | 0.0011                      | 5.9506          | 0.0                            | 0.0031                           | 5     |
 | 5.9587     | 0.0021                    | 0.0064                      | 5.9506          | 0.0031                         | 0.0031                           | 6     |
 | 5.9657     | 0.0064                    | 0.0032                      | 5.9506          | 0.0031                         | 0.0188                           | 7     |
+| 5.9617     | 0.0021                    | 0.0032                      | 5.9506          | 0.0031                         | 0.0063                           | 8     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1720296444.88c67ca35cd9.2642.0.v2

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tf_model.h5

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