populism_model44
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5165
- Accuracy: 0.9132
- F1: 0.6230
- Recall: 0.6552
- Precision: 0.5938
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 | 9 | 0.3256 | 0.8566 | 0.5778 | 0.8966 | 0.4262 |
| No log | 2.0 | 18 | 0.5677 | 0.9019 | 0.5517 | 0.5517 | 0.5517 |
| No log | 3.0 | 27 | 0.3768 | 0.8981 | 0.6197 | 0.7586 | 0.5238 |
| No log | 4.0 | 36 | 0.4529 | 0.9132 | 0.6462 | 0.7241 | 0.5833 |
| No log | 5.0 | 45 | 0.5165 | 0.9132 | 0.6230 | 0.6552 | 0.5938 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model44
Base model
google-bert/bert-base-multilingual-cased
Finetuned
AnonymousCS/populism_multilingual_bert