End of training

README.md

@@ -20,11 +20,11 @@ should 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:
-- Loss: 0.0118
-- Precision: 0.9590
-- Recall: 0.9725
-- F1: 0.9657
-- Accuracy: 0.9974
+- Loss: 0.0337
+- Precision: 0.8427
+- Recall: 0.9013
+- F1: 0.8710
+- Accuracy: 0.9919
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0003
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.051         | 1.0   | 2297 | 0.0349          | 0.8807    | 0.9191 | 0.8995 | 0.9914   |
-| 0.0164        | 2.0   | 4594 | 0.0189          | 0.9376    | 0.9617 | 0.9495 | 0.9957   |
-| 0.009         | 3.0   | 6891 | 0.0118          | 0.9590    | 0.9725 | 0.9657 | 0.9974   |
+| 0.3231        | 1.0   | 882  | 0.1740          | 0.4463    | 0.5576 | 0.4957 | 0.9588   |
+| 0.1442        | 2.0   | 1764 | 0.0758          | 0.6599    | 0.7765 | 0.7135 | 0.9811   |
+| 0.0472        | 3.0   | 2646 | 0.0337          | 0.8427    | 0.9013 | 0.8710 | 0.9919   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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