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--- |
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library_name: transformers |
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license: mit |
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base_model: roberta-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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model-index: |
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- name: roberta-issue-classifier |
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results: [] |
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datasets: |
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- JyotiNayak/political_ideologies |
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language: |
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- en |
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--- |
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# roberta-issue-classifier |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on [this](https://huggingface.co/datasets/JyotiNayak/political_ideologies) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0945 |
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- Accuracy: 0.9844 |
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- F1: 0.9844 |
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## Model description |
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Issue Type Mapping: {'economic': 0, 'environmental': 1, 'family/gender': 2, 'geo-political and foreign policy': 3, 'political': 4, 'racial justice and immigration': 5, 'religious': 6, 'social, health and education': 7} |
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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: 2e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.5661 | 0.625 | 100 | 0.4350 | 0.9437 | 0.9436 | |
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| 0.112 | 1.25 | 200 | 0.1488 | 0.975 | 0.9750 | |
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| 0.0335 | 1.875 | 300 | 0.1262 | 0.9781 | 0.9781 | |
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| 0.1009 | 2.5 | 400 | 0.1328 | 0.9781 | 0.9781 | |
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| 0.032 | 3.125 | 500 | 0.0945 | 0.9844 | 0.9844 | |
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| 0.0074 | 3.75 | 600 | 0.0944 | 0.9781 | 0.9781 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
