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_model343
results: []
populism_model343
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: 0.5910
- Accuracy: 0.7538
- 1-f1: 0.7419
- 1-recall: 0.7188
- 1-precision: 0.7667
- Balanced Acc: 0.7533
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 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.4126 | 1.0 | 3 | 0.5791 | 0.7385 | 0.7302 | 0.7188 | 0.7419 | 0.7382 |
| 0.2617 | 2.0 | 6 | 0.5705 | 0.7538 | 0.7647 | 0.8125 | 0.7222 | 0.7547 |
| 0.3334 | 3.0 | 9 | 0.5705 | 0.7538 | 0.7419 | 0.7188 | 0.7667 | 0.7533 |
| 0.2087 | 4.0 | 12 | 0.5875 | 0.7385 | 0.7213 | 0.6875 | 0.7586 | 0.7377 |
| 0.2755 | 5.0 | 15 | 0.5910 | 0.7538 | 0.7419 | 0.7188 | 0.7667 | 0.7533 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1