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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.4814
-- Train End Logits Accuracy: 0.6608
-- Train Start Logits Accuracy: 0.6912
-- Validation Loss: 0.4958
-- Validation End Logits Accuracy: 0.8415
-- Validation Start Logits Accuracy: 0.8995
+- Train Loss: 1.5563
+- Train End Logits Accuracy: 0.6377
+- Train Start Logits Accuracy: 0.6615
+- Validation Loss: 0.5213
+- Validation End Logits Accuracy: 0.8376
+- Validation Start Logits Accuracy: 0.8905
 - 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.4814     | 0.6608                    | 0.6912                      | 0.4958          | 0.8415                         | 0.8995                           | 0     |
+| 1.5563     | 0.6377                    | 0.6615                      | 0.5213          | 0.8376                         | 0.8905                           | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1690554465.3cd234ae5428.18540.0.v2

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logs/validation/events.out.tfevents.1690555525.3cd234ae5428.18540.1.v2

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tf_model.h5

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