End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2739
-- Accuracy: 0.8794
-- F1: 0.8786
-- Precision: 0.9279
-- Recall: 0.8342
+- Loss: 0.2337
+- Accuracy: 0.8972
+- F1: 0.8892
+- Precision: 0.9345
+- Recall: 0.848
 
 ## Model description
 
@@ -44,26 +44,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 64
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4024        | 1.0   | 506  | 0.2979          | 0.8517   | 0.8521 | 0.8900    | 0.8172 |
-| 0.2601        | 2.0   | 1012 | 0.2740          | 0.8783   | 0.8774 | 0.9267    | 0.8332 |
-| 0.2324        | 3.0   | 1518 | 0.2722          | 0.8761   | 0.8756 | 0.9214    | 0.8342 |
+| 0.4157        | 1.0   | 506  | 0.2809          | 0.8789   | 0.8728 | 0.8915    | 0.8549 |
+| 0.2653        | 2.0   | 1012 | 0.2862          | 0.87     | 0.8675 | 0.8597    | 0.8754 |
+| 0.2374        | 3.0   | 1518 | 0.2337          | 0.8972   | 0.8892 | 0.9345    | 0.848  |
+| 0.2209        | 4.0   | 2024 | 0.2392          | 0.8933   | 0.8857 | 0.9242    | 0.8503 |
+| 0.2086        | 5.0   | 2530 | 0.2499          | 0.8906   | 0.8835 | 0.9154    | 0.8537 |
 
 
 ### Framework versions
 
-- Transformers 5.3.0
-- Pytorch 2.10.0+cu128
+- Transformers 4.56.0
+- Pytorch 2.8.0+cu129
 - Datasets 4.8.2
-- Tokenizers 0.22.2
+- Tokenizers 0.22.0

model.safetensors

@@ -1,3 +1,3 @@
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 size 541323512