populism_model5
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: 0.5689
- Accuracy: 0.9485
- F1: 0.4444
- Recall: 0.5
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 | 25 | 0.3309 | 0.8866 | 0.3125 | 0.625 |
0.3485 | 2.0 | 50 | 0.5070 | 0.9485 | 0.375 | 0.375 |
0.3485 | 3.0 | 75 | 0.4961 | 0.9381 | 0.4 | 0.5 |
0.178 | 4.0 | 100 | 0.5562 | 0.9510 | 0.3871 | 0.375 |
0.178 | 5.0 | 125 | 0.5689 | 0.9485 | 0.4444 | 0.5 |
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