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: 0.8529
-- Train End Logits Accuracy: 0.7875
-- Train Start Logits Accuracy: 0.8176
-- Validation Loss: 0.4775
-- Validation End Logits Accuracy: 0.8544
-- Validation Start Logits Accuracy: 0.8892
-- Epoch: 1
+- Train Loss: 0.6256
+- Train End Logits Accuracy: 0.8359
+- Train Start Logits Accuracy: 0.8649
+- Validation Loss: 0.4800
+- Validation End Logits Accuracy: 0.8595
+- Validation Start Logits Accuracy: 0.8995
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4994     | 0.6497                    | 0.6777                      | 0.4953          | 0.8479                         | 0.8982                           | 0     |
 | 0.8529     | 0.7875                    | 0.8176                      | 0.4775          | 0.8544                         | 0.8892                           | 1     |
+| 0.6256     | 0.8359                    | 0.8649                      | 0.4800          | 0.8595                         | 0.8995                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693462412.c2ae3b5698e2.634.0.v2

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validation/events.out.tfevents.1693463490.c2ae3b5698e2.634.1.v2

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