Training in progress epoch 1

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: 0.6586
-- Train End Logits Accuracy: 0.8284
-- Train Start Logits Accuracy: 0.8598
-- Validation Loss: 0.5000
-- Validation End Logits Accuracy: 0.8737
-- Validation Start Logits Accuracy: 0.9124
-- Epoch: 0
+- Train Loss: 0.4565
+- Train End Logits Accuracy: 0.8766
+- Train Start Logits Accuracy: 0.8978
+- Validation Loss: 0.5009
+- Validation End Logits Accuracy: 0.8776
+- Validation Start Logits Accuracy: 0.9175
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.6586     | 0.8284                    | 0.8598                      | 0.5000          | 0.8737                         | 0.9124                           | 0     |
+| 0.4565     | 0.8766                    | 0.8978                      | 0.5009          | 0.8776                         | 0.9175                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1693471580.c2ae3b5698e2.634.4.v2

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validation/events.out.tfevents.1693472679.c2ae3b5698e2.634.5.v2

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