End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_multilingual_modernbert_base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model139
+  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_model139
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_modernbert_base](https://huggingface.co/AnonymousCS/populism_multilingual_modernbert_base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3965
+- Accuracy: 0.9643
+- 1-f1: 0.6415
+- 1-recall: 0.68
+- 1-precision: 0.6071
+- Balanced Acc: 0.8292
+
+## 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 OptimizerNames.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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.2449        | 1.0   | 34   | 0.3030          | 0.9154   | 0.4706 | 0.8      | 0.3333      | 0.8606       |
+| 0.1429        | 2.0   | 68   | 0.3443          | 0.9605   | 0.6316 | 0.72     | 0.5625      | 0.8462       |
+| 0.0609        | 3.0   | 102  | 0.3965          | 0.9643   | 0.6415 | 0.68     | 0.6071      | 0.8292       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_04-49-13_f98732f77a19/events.out.tfevents.1737521355.f98732f77a19.506.22

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