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: 0.7083
-- Train End Logits Accuracy: 0.7903
-- Train Start Logits Accuracy: 0.8387
-- Validation Loss: 0.4992
-- Validation End Logits Accuracy: 0.8505
-- Validation Start Logits Accuracy: 0.8892
-- Epoch: 0
+- Train Loss: 0.4552
+- Train End Logits Accuracy: 0.8584
+- Train Start Logits Accuracy: 0.8957
+- Validation Loss: 0.4905
+- Validation End Logits Accuracy: 0.8686
+- Validation Start Logits Accuracy: 0.8995
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 0.7083     | 0.7903                    | 0.8387                      | 0.4992          | 0.8505                         | 0.8892                           | 0     |
+| 0.4552     | 0.8584                    | 0.8957                      | 0.4905          | 0.8686                         | 0.8995                           | 1     |
 
 
 ### Framework versions

tf_model.h5

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train/events.out.tfevents.1691999041.3142ad86e417.1222.2.v2

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validation/events.out.tfevents.1691999675.3142ad86e417.1222.3.v2

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