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: 0.8493
-- Train End Logits Accuracy: 0.7898
-- Train Start Logits Accuracy: 0.8229
-- Validation Loss: 0.4547
-- Validation End Logits Accuracy: 0.8686
-- Validation Start Logits Accuracy: 0.9137
-- Epoch: 1
+- Train Loss: 0.6175
+- Train End Logits Accuracy: 0.8417
+- Train Start Logits Accuracy: 0.8693
+- Validation Loss: 0.4662
+- Validation End Logits Accuracy: 0.8789
+- Validation Start Logits Accuracy: 0.9162
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4412     | 0.6715                    | 0.7002                      | 0.4875          | 0.8570                         | 0.8943                           | 0     |
 | 0.8493     | 0.7898                    | 0.8229                      | 0.4547          | 0.8686                         | 0.9137                           | 1     |
+| 0.6175     | 0.8417                    | 0.8693                      | 0.4662          | 0.8789                         | 0.9162                           | 2     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693467394.c2ae3b5698e2.634.2.v2

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validation/events.out.tfevents.1693468498.c2ae3b5698e2.634.3.v2

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