metadata
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model56
results: []
populism_model56
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: 0.4856
- Accuracy: 0.8519
- F1: 0.3103
- Recall: 0.6301
- Precision: 0.2058
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 |
|---|---|---|---|---|---|---|---|
| 0.6562 | 1.0 | 87 | 0.5132 | 0.9247 | 0.1746 | 0.1507 | 0.2075 |
| 0.5 | 2.0 | 174 | 0.4700 | 0.8751 | 0.3086 | 0.5274 | 0.2181 |
| 0.4517 | 3.0 | 261 | 0.4616 | 0.8700 | 0.3214 | 0.5822 | 0.2219 |
| 0.4041 | 4.0 | 348 | 0.4681 | 0.7936 | 0.2692 | 0.7192 | 0.1656 |
| 0.37 | 5.0 | 435 | 0.4856 | 0.8519 | 0.3103 | 0.6301 | 0.2058 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0