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_model57
results: []
populism_model57
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: 0.4202
- Accuracy: 0.9208
- F1: 0.5349
- Recall: 0.7419
- Precision: 0.4182
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 |
|---|---|---|---|---|---|---|---|
| 0.3172 | 1.0 | 64 | 0.2908 | 0.8930 | 0.4882 | 0.8306 | 0.3456 |
| 0.2509 | 2.0 | 128 | 0.3295 | 0.9173 | 0.5348 | 0.7742 | 0.4085 |
| 0.2087 | 3.0 | 192 | 0.3780 | 0.9178 | 0.5257 | 0.7419 | 0.4071 |
| 0.1541 | 4.0 | 256 | 0.4652 | 0.9287 | 0.5355 | 0.6694 | 0.4462 |
| 0.1453 | 5.0 | 320 | 0.4202 | 0.9208 | 0.5349 | 0.7419 | 0.4182 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0