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: 0.8475
-- Train End Logits Accuracy: 0.7908
-- Train Start Logits Accuracy: 0.8196
-- Validation Loss: 0.4717
-- Validation End Logits Accuracy: 0.8608
-- Validation Start Logits Accuracy: 0.9072
-- Epoch: 1
+- Train Loss: 0.6237
+- Train End Logits Accuracy: 0.8396
+- Train Start Logits Accuracy: 0.8659
+- Validation Loss: 0.4711
+- Validation End Logits Accuracy: 0.8634
+- Validation Start Logits Accuracy: 0.9137
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4900     | 0.6594                    | 0.6845                      | 0.5164          | 0.8518                         | 0.8982                           | 0     |
 | 0.8475     | 0.7908                    | 0.8196                      | 0.4717          | 0.8608                         | 0.9072                           | 1     |
+| 0.6237     | 0.8396                    | 0.8659                      | 0.4711          | 0.8634                         | 0.9137                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693464913.8293dfc4e432.183.0.v2

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validation/events.out.tfevents.1693465999.8293dfc4e432.183.1.v2

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