metadata
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_107
results: []
populism_classifier_107
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0843
- Accuracy: 0.8343
- 1-f1: 0.1765
- 1-recall: 0.24
- 1-precision: 0.1395
- Balanced Acc: 0.5609
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.5142 | 1.0 | 85 | 0.6132 | 0.8225 | 0.3478 | 0.64 | 0.2388 | 0.7385 |
| 0.7301 | 2.0 | 170 | 0.7614 | 0.8314 | 0.1739 | 0.24 | 0.1364 | 0.5593 |
| 0.6265 | 3.0 | 255 | 1.0843 | 0.8343 | 0.1765 | 0.24 | 0.1395 | 0.5609 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4