Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ 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: 1.0013
-- Train End Logits Accuracy: 0.7316
-- Train Start Logits Accuracy: 0.6900
-- Validation Loss: 0.8895
-- Validation End Logits Accuracy: 0.7531
-- Validation Start Logits Accuracy: 0.7122
+- 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
 
 ## Model description
@@ -47,7 +47,7 @@ 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.0013     | 0.7316                    | 0.6900                      | 0.8895          | 0.7531                         | 0.7122                           | 0     |
+| 0.9838     | 0.7333                    | 0.6924                      | 0.8735          | 0.7515                         | 0.7178                           | 0     |
 
 
 ### Framework versions

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

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logs/validation/events.out.tfevents.1711661521.f134cb61ecc8.558.1.v2

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tf_model.h5

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tokenizer.json

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