Model save

README.md

@@ -21,11 +21,11 @@ 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: 0.0412
-- Precision: 0.9367
-- Recall: 0.9359
-- F1: 0.9363
-- Accuracy: 0.9890
+- Loss: 0.1520
+- Precision: 0.8581
+- Recall: 0.8478
+- F1: 0.8529
+- Accuracy: 0.9608
 
 ## Model description
 
@@ -57,14 +57,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1821        | 1.0   | 164  | 0.0723          | 0.8931    | 0.9068 | 0.8999 | 0.9802   |
-| 0.0789        | 2.0   | 328  | 0.0403          | 0.9354    | 0.9402 | 0.9378 | 0.9897   |
-| 0.054         | 3.0   | 492  | 0.0412          | 0.9367    | 0.9359 | 0.9363 | 0.9890   |
+| 0.2148        | 1.0   | 250  | 0.2214          | 0.8414    | 0.7840 | 0.8116 | 0.9432   |
+| 0.1215        | 2.0   | 500  | 0.1550          | 0.8324    | 0.8250 | 0.8287 | 0.9560   |
+| 0.0873        | 3.0   | 750  | 0.1520          | 0.8581    | 0.8478 | 0.8529 | 0.9608   |
 
 
 ### Framework versions
 
 - Transformers 4.57.1
-- Pytorch 2.8.0+cu126
+- Pytorch 2.9.0+cu126
 - Datasets 4.4.1
 - Tokenizers 0.22.1

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