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 [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: 0.6488
-- Train End Logits Accuracy: 0.8284
-- Train Start Logits Accuracy: 0.8563
-- Validation Loss: 0.5093
-- Validation End Logits Accuracy: 0.8673
-- Validation Start Logits Accuracy: 0.8982
-- Epoch: 0
+- Train Loss: 0.4258
+- Train End Logits Accuracy: 0.8820
+- Train Start Logits Accuracy: 0.9031
+- Validation Loss: 0.5351
+- Validation End Logits Accuracy: 0.8686
+- Validation Start Logits Accuracy: 0.8995
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.6488     | 0.8284                    | 0.8563                      | 0.5093          | 0.8673                         | 0.8982                           | 0     |
+| 0.4258     | 0.8820                    | 0.9031                      | 0.5351          | 0.8686                         | 0.8995                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1691921373.e7c9a2504c08.255.2.v2

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tf_model.h5

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