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: 0.7392
-- Train End Logits Accuracy: 0.7853
-- Train Start Logits Accuracy: 0.8335
-- Validation Loss: 0.4756
-- Validation End Logits Accuracy: 0.8479
-- Validation Start Logits Accuracy: 0.8956
-- Epoch: 1
+- Train Loss: 0.5163
+- Train End Logits Accuracy: 0.8431
+- Train Start Logits Accuracy: 0.8833
+- Validation Loss: 0.4780
+- Validation End Logits Accuracy: 0.8454
+- Validation Start Logits Accuracy: 0.8943
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4535     | 0.6440                    | 0.6758                      | 0.5124          | 0.8363                         | 0.8879                           | 0     |
 | 0.7392     | 0.7853                    | 0.8335                      | 0.4756          | 0.8479                         | 0.8956                           | 1     |
+| 0.5163     | 0.8431                    | 0.8833                      | 0.4780          | 0.8454                         | 0.8943                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693372089.d48fcc31d2f5.328.0.v2

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validation/events.out.tfevents.1693372720.d48fcc31d2f5.328.1.v2

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