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_model55
results: []
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