populism_model12
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4767
- Accuracy: 0.9091
- F1: 0.4348
- Recall: 0.5556
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 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 14 | 0.4129 | 0.8998 | 0.3768 | 0.4815 |
| No log | 2.0 | 28 | 0.3728 | 0.8974 | 0.4634 | 0.7037 |
| No log | 3.0 | 42 | 0.4434 | 0.9114 | 0.4412 | 0.5556 |
| 0.3466 | 4.0 | 56 | 0.4465 | 0.9114 | 0.4571 | 0.5926 |
| 0.3466 | 5.0 | 70 | 0.4767 | 0.9091 | 0.4348 | 0.5556 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
google-bert/bert-base-multilingual-cased