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_model335
results: []
populism_model335
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: 0.5288
- Accuracy: 0.8333
- 1-f1: 0.8364
- 1-recall: 0.8519
- 1-precision: 0.8214
- Balanced Acc: 0.8333
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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 0.5981 | 0.8148 | 0.8387 | 0.9630 | 0.7429 | 0.8148 |
| No log | 2.0 | 4 | 0.5715 | 0.8333 | 0.8364 | 0.8519 | 0.8214 | 0.8333 |
| 0.632 | 3.0 | 6 | 0.5504 | 0.8333 | 0.8364 | 0.8519 | 0.8214 | 0.8333 |
| 0.632 | 4.0 | 8 | 0.5355 | 0.8333 | 0.8364 | 0.8519 | 0.8214 | 0.8333 |
| 0.5696 | 5.0 | 10 | 0.5288 | 0.8333 | 0.8364 | 0.8519 | 0.8214 | 0.8333 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1