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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.3577
-- Train End Logits Accuracy: 0.5055
-- Train Start Logits Accuracy: 0.4987
-- Validation Loss: 2.1050
-- Validation End Logits Accuracy: 0.5151
-- Validation Start Logits Accuracy: 0.4843
-- Epoch: 0
+- Train Loss: 1.7583
+- Train End Logits Accuracy: 0.5813
+- Train Start Logits Accuracy: 0.5573
+- Validation Loss: 2.0446
+- Validation End Logits Accuracy: 0.5277
+- Validation Start Logits Accuracy: 0.4928
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 2.3577     | 0.5055                    | 0.4987                      | 2.1050          | 0.5151                         | 0.4843                           | 0     |
+| 1.7583     | 0.5813                    | 0.5573                      | 2.0446          | 0.5277                         | 0.4928                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1714707522.10b7f54601f4.408.0.v2

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tf_model.h5

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