metadata
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model231
results: []
populism_model231
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2779
- Accuracy: 0.9703
- 1-f1: 0.6
- 1-recall: 0.6316
- 1-precision: 0.5714
- Balanced Acc: 0.8071
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 OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.189 | 1.0 | 34 | 0.1992 | 0.9665 | 0.6087 | 0.7368 | 0.5185 | 0.8559 |
| 0.1208 | 2.0 | 68 | 0.2785 | 0.9703 | 0.6 | 0.6316 | 0.5714 | 0.8071 |
| 0.0665 | 3.0 | 102 | 0.2779 | 0.9703 | 0.6 | 0.6316 | 0.5714 | 0.8071 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0