populism_model4
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: 0.5230
- Accuracy: 0.9160
- F1: 0.4941
- Recall: 0.6364
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: 64
- eval_batch_size: 64
- 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 | 32 | 0.4039 | 0.8301 | 0.3741 | 0.7879 |
| 0.4193 | 2.0 | 64 | 0.8140 | 0.9375 | 0.2727 | 0.1818 |
| 0.4193 | 3.0 | 96 | 0.4364 | 0.8633 | 0.4262 | 0.7879 |
| 0.2547 | 4.0 | 128 | 0.7597 | 0.9219 | 0.2857 | 0.2424 |
| 0.191 | 5.0 | 160 | 0.5230 | 0.9160 | 0.4941 | 0.6364 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for AnonymousCS/populism_model4
Base model
google-bert/bert-base-multilingual-cased