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: 0.8390
-- Train End Logits Accuracy: 0.7974
-- Train Start Logits Accuracy: 0.8300
-- Validation Loss: 0.4689
-- Validation End Logits Accuracy: 0.8776
-- Validation Start Logits Accuracy: 0.9111
-- Epoch: 1
+- Train Loss: 0.6170
+- Train End Logits Accuracy: 0.8405
+- Train Start Logits Accuracy: 0.8688
+- Validation Loss: 0.4570
+- Validation End Logits Accuracy: 0.8686
+- Validation Start Logits Accuracy: 0.9098
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4621     | 0.6678                    | 0.6919                      | 0.4850          | 0.8466                         | 0.8982                           | 0     |
 | 0.8390     | 0.7974                    | 0.8300                      | 0.4689          | 0.8776                         | 0.9111                           | 1     |
+| 0.6170     | 0.8405                    | 0.8688                      | 0.4570          | 0.8686                         | 0.9098                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693389019.63d1acd27258.358.2.v2

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validation/events.out.tfevents.1693390055.63d1acd27258.358.3.v2

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