populism_model003
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: 0.3905
- Accuracy: 0.9072
- 1-f1: 0.3896
- 1-recall: 0.6266
- 1-precision: 0.2827
- Balanced Acc: 0.7739
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 OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.4025 | 1.0 | 452 | 0.3912 | 0.9101 | 0.3847 | 0.5944 | 0.2843 | 0.7601 |
| 0.3394 | 2.0 | 904 | 0.3808 | 0.8973 | 0.3777 | 0.6589 | 0.2647 | 0.7840 |
| 0.2993 | 3.0 | 1356 | 0.3905 | 0.9072 | 0.3896 | 0.6266 | 0.2827 | 0.7739 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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