populism_model88
This model is a fine-tuned version of AnonymousCS/populism_multilingual_roberta_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6276
- Accuracy: 0.9155
- F1: 0.2712
- Recall: 0.4
- Precision: 0.2051
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 16 | 0.4100 | 0.7878 | 0.2603 | 0.95 | 0.1508 |
| No log | 2.0 | 32 | 0.3931 | 0.8507 | 0.2963 | 0.8 | 0.1818 |
| No log | 3.0 | 48 | 0.4442 | 0.8861 | 0.2564 | 0.5 | 0.1724 |
| 0.3305 | 4.0 | 64 | 0.6500 | 0.9234 | 0.2642 | 0.35 | 0.2121 |
| 0.3305 | 5.0 | 80 | 0.6276 | 0.9155 | 0.2712 | 0.4 | 0.2051 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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