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: 0.7005
-- Train End Logits Accuracy: 0.7964
-- Train Start Logits Accuracy: 0.8422
-- Validation Loss: 0.4642
-- Validation End Logits Accuracy: 0.8479
-- Validation Start Logits Accuracy: 0.9111
-- Epoch: 1
+- Train Loss: 0.4910
+- Train End Logits Accuracy: 0.8464
+- Train Start Logits Accuracy: 0.8906
+- Validation Loss: 0.4660
+- Validation End Logits Accuracy: 0.8570
+- Validation Start Logits Accuracy: 0.9175
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4087     | 0.6514                    | 0.6936                      | 0.5275          | 0.8351                         | 0.8776                           | 0     |
 | 0.7005     | 0.7964                    | 0.8422                      | 0.4642          | 0.8479                         | 0.9111                           | 1     |
+| 0.4910     | 0.8464                    | 0.8906                      | 0.4660          | 0.8570                         | 0.9175                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693289044.f64460db9a5c.440.4.v2

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validation/events.out.tfevents.1693289681.f64460db9a5c.440.5.v2

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