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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: answerdotai/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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- f1 |
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- recall |
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- precision |
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model-index: |
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- name: populism_model105 |
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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_model105 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6150 |
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- Accuracy: 0.8237 |
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- F1: 0.3333 |
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- Recall: 0.5517 |
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- Precision: 0.2388 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use 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: 5 |
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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 | F1 | Recall | Precision | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:| |
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| 0.6904 | 1.0 | 91 | 0.5828 | 0.7025 | 0.2603 | 0.6552 | 0.1624 | |
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| 0.5919 | 2.0 | 182 | 0.5618 | 0.8292 | 0.2955 | 0.4483 | 0.2203 | |
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| 0.6766 | 3.0 | 273 | 0.5231 | 0.7603 | 0.3359 | 0.7586 | 0.2157 | |
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| 0.4499 | 4.0 | 364 | 0.5563 | 0.7906 | 0.3333 | 0.6552 | 0.2235 | |
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| 0.3823 | 5.0 | 455 | 0.6150 | 0.8237 | 0.3333 | 0.5517 | 0.2388 | |
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### Framework versions |
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- Transformers 4.48.0.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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