Training in progress epoch 1

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: 4.7467
-- Train End Logits Accuracy: 0.1006
-- Train Start Logits Accuracy: 0.0561
-- Validation Loss: 5.8046
-- Validation End Logits Accuracy: 0.0157
-- Validation Start Logits Accuracy: 0.0878
-- Epoch: 0
+- Train Loss: 4.8045
+- Train End Logits Accuracy: 0.0148
+- Train Start Logits Accuracy: 0.0138
+- Validation Loss: 5.2042
+- Validation End Logits Accuracy: 0.0094
+- Validation Start Logits Accuracy: 0.0094
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 4.7467     | 0.1006                    | 0.0561                      | 5.8046          | 0.0157                         | 0.0878                           | 0     |
+| 4.8045     | 0.0148                    | 0.0138                      | 5.2042          | 0.0094                         | 0.0094                           | 1     |
 
 
 ### Framework versions

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

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tf_model.h5

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