populism_classifier_bsample_251
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: 0.8699
- Accuracy: 0.7745
- 1-f1: 0.2484
- 1-recall: 0.8636
- 1-precision: 0.1450
- Balanced Acc: 0.8171
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 |
|---|---|---|---|---|---|---|---|---|
| 0.2346 | 1.0 | 7 | 1.3456 | 0.6510 | 0.1909 | 0.9545 | 0.1061 | 0.7959 |
| 0.0298 | 2.0 | 14 | 0.8524 | 0.7529 | 0.2410 | 0.9091 | 0.1389 | 0.8275 |
| 0.1553 | 3.0 | 21 | 1.0009 | 0.7392 | 0.2312 | 0.9091 | 0.1325 | 0.8203 |
| 0.0153 | 4.0 | 28 | 0.8699 | 0.7745 | 0.2484 | 0.8636 | 0.1450 | 0.8171 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 9