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: 0.7360
-- Train End Logits Accuracy: 0.7889
-- Train Start Logits Accuracy: 0.8340
-- Validation Loss: 0.4890
-- Validation End Logits Accuracy: 0.8505
-- Validation Start Logits Accuracy: 0.9046
-- Epoch: 1
+- Train Loss: 0.5255
+- Train End Logits Accuracy: 0.8376
+- Train Start Logits Accuracy: 0.8844
+- Validation Loss: 0.4727
+- Validation End Logits Accuracy: 0.8402
+- Validation Start Logits Accuracy: 0.9059
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4676     | 0.6338                    | 0.6783                      | 0.5515          | 0.8273                         | 0.8866                           | 0     |
 | 0.7360     | 0.7889                    | 0.8340                      | 0.4890          | 0.8505                         | 0.9046                           | 1     |
+| 0.5255     | 0.8376                    | 0.8844                      | 0.4727          | 0.8402                         | 0.9059                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693370680.43d0e342774e.756.0.v2

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validation/events.out.tfevents.1693371306.43d0e342774e.756.1.v2

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