End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: AnonymousCS/populism_multilingual_roberta_base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: populism_model57
+  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_model57
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4202
+- Accuracy: 0.9208
+- F1: 0.5349
+- Recall: 0.7419
+- Precision: 0.4182
+
+## 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: 128
+- eval_batch_size: 128
+- 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 | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.3172        | 1.0   | 64   | 0.2908          | 0.8930   | 0.4882 | 0.8306 | 0.3456    |
+| 0.2509        | 2.0   | 128  | 0.3295          | 0.9173   | 0.5348 | 0.7742 | 0.4085    |
+| 0.2087        | 3.0   | 192  | 0.3780          | 0.9178   | 0.5257 | 0.7419 | 0.4071    |
+| 0.1541        | 4.0   | 256  | 0.4652          | 0.9287   | 0.5355 | 0.6694 | 0.4462    |
+| 0.1453        | 5.0   | 320  | 0.4202          | 0.9208   | 0.5349 | 0.7419 | 0.4182    |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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