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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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model-index: |
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- name: populism_model108 |
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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_model108 |
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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: 0.6361 |
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- Accuracy: 0.7547 |
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- 1-f1: 0.3011 |
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- 1-recall: 0.4828 |
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- 1-precision: 0.2188 |
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- Balanced Acc: 0.6354 |
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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: 128 |
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- eval_batch_size: 128 |
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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 | 1-f1 | 1-recall | 1-precision | Balanced Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
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| No log | 1.0 | 9 | 0.6149 | 0.6755 | 0.2586 | 0.5172 | 0.1724 | 0.6061 | |
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| No log | 2.0 | 18 | 0.6216 | 0.7208 | 0.26 | 0.4483 | 0.1831 | 0.6013 | |
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| No log | 3.0 | 27 | 0.6195 | 0.7208 | 0.2745 | 0.4828 | 0.1918 | 0.6164 | |
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| No log | 4.0 | 36 | 0.6403 | 0.7509 | 0.2143 | 0.3103 | 0.1636 | 0.5577 | |
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| No log | 5.0 | 45 | 0.6361 | 0.7547 | 0.3011 | 0.4828 | 0.2188 | 0.6354 | |
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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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