End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: AnonymousCS/populism_multilingual_modernbert_base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: populism_model131
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# populism_model131
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.1448
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- Accuracy: 0.9856
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- 1-f1: 0.8696
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- 1-recall: 0.9091
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- 1-precision: 0.8333
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- Balanced Acc: 0.9495
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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| 0.2577 | 1.0 | 26 | 0.1562 | 0.9207 | 0.56 | 0.9545 | 0.3962 | 0.9367 |
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| 0.1415 | 2.0 | 52 | 0.1207 | 0.9567 | 0.7 | 0.9545 | 0.5526 | 0.9557 |
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| 0.0578 | 3.0 | 78 | 0.1448 | 0.9856 | 0.8696 | 0.9091 | 0.8333 | 0.9495 |
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### Framework versions
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- Transformers 4.49.0.dev0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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