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: 1.5040
-- Train End Logits Accuracy: 0.6478
-- Train Start Logits Accuracy: 0.6786
-- Validation Loss: 0.5486
-- Validation End Logits Accuracy: 0.8299
-- Validation Start Logits Accuracy: 0.8840
-- Epoch: 0
+- Train Loss: 0.8499
+- Train End Logits Accuracy: 0.7860
+- Train Start Logits Accuracy: 0.8197
+- Validation Loss: 0.4706
+- Validation End Logits Accuracy: 0.8544
+- Validation Start Logits Accuracy: 0.9034
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.5040     | 0.6478                    | 0.6786                      | 0.5486          | 0.8299                         | 0.8840                           | 0     |
+| 0.8499     | 0.7860                    | 0.8197                      | 0.4706          | 0.8544                         | 0.9034                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1691917378.e7c9a2504c08.255.0.v2

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tf_model.h5

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