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: 0.7063
-- Train End Logits Accuracy: 0.7951
-- Train Start Logits Accuracy: 0.8406
-- Validation Loss: 0.4692
+- Train Loss: 0.5014
+- Train End Logits Accuracy: 0.8482
+- Train Start Logits Accuracy: 0.8900
+- Validation Loss: 0.4728
 - Validation End Logits Accuracy: 0.8531
-- Validation Start Logits Accuracy: 0.9008
-- Epoch: 1
+- Validation Start Logits Accuracy: 0.9046
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.2299     | 0.6783                    | 0.7198                      | 0.4920          | 0.8454                         | 0.8918                           | 0     |
 | 0.7063     | 0.7951                    | 0.8406                      | 0.4692          | 0.8531                         | 0.9008                           | 1     |
+| 0.5014     | 0.8482                    | 0.8900                      | 0.4728          | 0.8531                         | 0.9046                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693372393.a0fb928b3a10.319.1.v2

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validation/events.out.tfevents.1693372999.a0fb928b3a10.319.2.v2

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