populism_model74
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: 0.3686
- Accuracy: 0.9517
- F1: 0.5
- Recall: 0.6190
- Precision: 0.4194
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 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: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
---|---|---|---|---|---|---|---|
No log | 1.0 | 17 | 0.1789 | 0.9387 | 0.5479 | 0.9524 | 0.3846 |
No log | 2.0 | 34 | 0.2524 | 0.9480 | 0.5333 | 0.7619 | 0.4103 |
0.153 | 3.0 | 51 | 0.3292 | 0.9461 | 0.4727 | 0.6190 | 0.3824 |
0.153 | 4.0 | 68 | 0.3245 | 0.9535 | 0.5455 | 0.7143 | 0.4412 |
0.153 | 5.0 | 85 | 0.3686 | 0.9517 | 0.5 | 0.6190 | 0.4194 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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