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 [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9838
-- Train End Logits Accuracy: 0.7333
-- Train Start Logits Accuracy: 0.6924
-- Validation Loss: 0.8735
-- Validation End Logits Accuracy: 0.7515
-- Validation Start Logits Accuracy: 0.7178
-- Epoch: 0
+- Train Loss: 0.6529
+- Train End Logits Accuracy: 0.8116
+- Train Start Logits Accuracy: 0.7711
+- Validation Loss: 0.8559
+- Validation End Logits Accuracy: 0.7604
+- Validation Start Logits Accuracy: 0.7262
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.9838     | 0.7333                    | 0.6924                      | 0.8735          | 0.7515                         | 0.7178                           | 0     |
+| 0.6529     | 0.8116                    | 0.7711                      | 0.8559          | 0.7604                         | 0.7262                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1711659119.f134cb61ecc8.558.0.v2

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tf_model.h5

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