End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+model-index:
+- name: populism_model6
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# populism_model6
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3099
+- Accuracy: 0.9255
+- F1: 0.6389
+- Recall: 0.8214
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
+| No log        | 1.0   | 22   | 0.2588          | 0.8481   | 0.5138 | 1.0    |
+| No log        | 2.0   | 44   | 0.2545          | 0.9112   | 0.6173 | 0.8929 |
+| 0.3326        | 3.0   | 66   | 0.3131          | 0.9169   | 0.5915 | 0.75   |
+| 0.3326        | 4.0   | 88   | 0.3138          | 0.9198   | 0.6    | 0.75   |
+| 0.2053        | 5.0   | 110  | 0.3099          | 0.9255   | 0.6389 | 0.8214 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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