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_model67
results: []
populism_model67
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: 0.3887
- Accuracy: 0.9136
- F1: 0.3529
- Recall: 0.6429
- Precision: 0.2432
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 | 12 | 0.3456 | 0.9267 | 0.3 | 0.4286 | 0.2308 |
| No log | 2.0 | 24 | 0.3308 | 0.8848 | 0.3333 | 0.7857 | 0.2115 |
| No log | 3.0 | 36 | 0.3833 | 0.9215 | 0.25 | 0.3571 | 0.1923 |
| No log | 4.0 | 48 | 0.3444 | 0.8874 | 0.2951 | 0.6429 | 0.1915 |
| 0.4115 | 5.0 | 60 | 0.3887 | 0.9136 | 0.3529 | 0.6429 | 0.2432 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0