metadata
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_256
results: []
populism_classifier_bsample_256
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: 0.8809
- Accuracy: 0.6953
- 1-f1: 0.1733
- 1-recall: 0.8125
- 1-precision: 0.0970
- Balanced Acc: 0.7515
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: 32
- eval_batch_size: 32
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.8619 | 1.0 | 4 | 0.7220 | 0.8403 | 0.1772 | 0.4375 | 0.1111 | 0.6471 |
| 0.1359 | 2.0 | 8 | 1.0784 | 0.5725 | 0.1471 | 0.9375 | 0.0798 | 0.7475 |
| 0.142 | 3.0 | 12 | 0.8809 | 0.6953 | 0.1733 | 0.8125 | 0.0970 | 0.7515 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3