metadata
library_name: transformers
license: mit
base_model: AnonymousCS/populism_xlmr_large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_213
results: []
populism_classifier_213
This model is a fine-tuned version of AnonymousCS/populism_xlmr_large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2244
- Accuracy: 0.9441
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0622 | 1.0 | 108 | 0.2190 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2087 | 2.0 | 216 | 0.2302 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1758 | 3.0 | 324 | 0.2159 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1383 | 4.0 | 432 | 0.2495 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.567 | 5.0 | 540 | 0.2384 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0451 | 6.0 | 648 | 0.2244 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3