metadata
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model30
results: []
populism_model30
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: 0.4810
- Accuracy: 0.9371
- F1: 0.5695
- Recall: 0.6774
- Precision: 0.4912
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 |
|---|---|---|---|---|---|---|---|
| 0.3071 | 1.0 | 64 | 0.2776 | 0.8791 | 0.4719 | 0.8790 | 0.3225 |
| 0.2426 | 2.0 | 128 | 0.3367 | 0.9163 | 0.5185 | 0.7339 | 0.4009 |
| 0.1849 | 3.0 | 192 | 0.3548 | 0.9193 | 0.5303 | 0.7419 | 0.4126 |
| 0.1308 | 4.0 | 256 | 0.4400 | 0.9336 | 0.5592 | 0.6855 | 0.4722 |
| 0.1056 | 5.0 | 320 | 0.4810 | 0.9371 | 0.5695 | 0.6774 | 0.4912 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0