Training in progress epoch 2

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: 0.8492
-- Train End Logits Accuracy: 0.7924
-- Train Start Logits Accuracy: 0.8213
-- Validation Loss: 0.4551
-- Validation End Logits Accuracy: 0.8621
-- Validation Start Logits Accuracy: 0.9111
-- Epoch: 1
+- Train Loss: 0.6239
+- Train End Logits Accuracy: 0.8399
+- Train Start Logits Accuracy: 0.8668
+- Validation Loss: 0.4671
+- Validation End Logits Accuracy: 0.8737
+- Validation Start Logits Accuracy: 0.9072
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4777     | 0.6601                    | 0.6849                      | 0.4738          | 0.8544                         | 0.8930                           | 0     |
 | 0.8492     | 0.7924                    | 0.8213                      | 0.4551          | 0.8621                         | 0.9111                           | 1     |
+| 0.6239     | 0.8399                    | 0.8668                      | 0.4671          | 0.8737                         | 0.9072                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693390160.f88cc1ea6bb6.3705.2.v2

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validation/events.out.tfevents.1693391339.f88cc1ea6bb6.3705.3.v2

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