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_model78
results: []
populism_model78
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: 0.4741
- Accuracy: 0.8282
- F1: 0.2034
- Recall: 0.5
- Precision: 0.1277
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 | 18 | 0.4719 | 0.9122 | 0.1724 | 0.2083 | 0.1471 |
| No log | 2.0 | 36 | 0.4382 | 0.8355 | 0.2241 | 0.5417 | 0.1413 |
| 0.4375 | 3.0 | 54 | 0.4526 | 0.8154 | 0.192 | 0.5 | 0.1188 |
| 0.4375 | 4.0 | 72 | 0.4988 | 0.9068 | 0.2154 | 0.2917 | 0.1707 |
| 0.4375 | 5.0 | 90 | 0.4741 | 0.8282 | 0.2034 | 0.5 | 0.1277 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0