End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: populism_model91
+  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_model91
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4717
+- Accuracy: 0.8816
+- F1: 0.3699
+- Recall: 0.6575
+- Precision: 0.2574
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.4647        | 1.0   | 87   | 0.4302          | 0.7715   | 0.2739 | 0.8151 | 0.1646    |
+| 0.3772        | 2.0   | 174  | 0.4315          | 0.7433   | 0.2698 | 0.8973 | 0.1588    |
+| 0.3202        | 3.0   | 261  | 0.4559          | 0.9120   | 0.3910 | 0.5342 | 0.3083    |
+| 0.2932        | 4.0   | 348  | 0.4034          | 0.8642   | 0.3612 | 0.7260 | 0.2404    |
+| 0.2481        | 5.0   | 435  | 0.4717          | 0.8816   | 0.3699 | 0.6575 | 0.2574    |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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