Training in progress epoch 4

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: 5.9626
-- Train End Logits Accuracy: 0.0021
-- Train Start Logits Accuracy: 0.0021
+- Train Loss: 5.9599
+- Train End Logits Accuracy: 0.0042
+- Train Start Logits Accuracy: 0.0
 - Validation Loss: 5.9506
-- Validation End Logits Accuracy: 0.0031
-- Validation Start Logits Accuracy: 0.0031
-- Epoch: 3
+- Validation End Logits Accuracy: 0.0
+- Validation Start Logits Accuracy: 0.0
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 4.8045     | 0.0148                    | 0.0138                      | 5.2042          | 0.0094                         | 0.0094                           | 1     |
 | 5.9402     | 0.0032                    | 0.0053                      | 5.9506          | 0.0031                         | 0.0063                           | 2     |
 | 5.9626     | 0.0021                    | 0.0021                      | 5.9506          | 0.0031                         | 0.0031                           | 3     |
+| 5.9599     | 0.0042                    | 0.0                         | 5.9506          | 0.0                            | 0.0                              | 4     |
 
 
 ### Framework versions

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

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tf_model.h5

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