populism_model55
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: 0.4615
- Accuracy: 0.9019
- F1: 0.4511
- Recall: 0.6570
- Precision: 0.3435
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 |
| 0.6332 |
1.0 |
88 |
0.4366 |
0.8416 |
0.3490 |
0.6919 |
0.2333 |
| 0.3774 |
2.0 |
176 |
0.3717 |
0.8741 |
0.4126 |
0.7209 |
0.2890 |
| 0.3284 |
3.0 |
264 |
0.3716 |
0.8787 |
0.4198 |
0.7151 |
0.2971 |
| 0.2612 |
4.0 |
352 |
0.4523 |
0.9087 |
0.4386 |
0.5814 |
0.3521 |
| 0.2422 |
5.0 |
440 |
0.4615 |
0.9019 |
0.4511 |
0.6570 |
0.3435 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0