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: 1.4800
-- Train End Logits Accuracy: 0.6293
-- Train Start Logits Accuracy: 0.6727
-- Validation Loss: 0.5363
-- Validation End Logits Accuracy: 0.8209
-- Validation Start Logits Accuracy: 0.8802
-- Epoch: 0
+- Train Loss: 0.7346
+- Train End Logits Accuracy: 0.7868
+- Train Start Logits Accuracy: 0.8315
+- Validation Loss: 0.5008
+- Validation End Logits Accuracy: 0.8492
+- Validation Start Logits Accuracy: 0.8918
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4800     | 0.6293                    | 0.6727                      | 0.5363          | 0.8209                         | 0.8802                           | 0     |
+| 0.7346     | 0.7868                    | 0.8315                      | 0.5008          | 0.8492                         | 0.8918                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1691997432.3142ad86e417.1222.0.v2

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validation/events.out.tfevents.1691998082.3142ad86e417.1222.1.v2

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