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_model218
results: []
populism_model218
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: 0.4097
- Accuracy: 0.9383
- 1-f1: 0.5588
- 1-recall: 0.6786
- 1-precision: 0.475
- Balanced Acc: 0.8164
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 |
|---|---|---|---|---|---|---|---|---|
| 0.2512 | 1.0 | 31 | 0.4280 | 0.9383 | 0.5455 | 0.6429 | 0.4737 | 0.7996 |
| 0.1611 | 2.0 | 62 | 0.3942 | 0.9342 | 0.5429 | 0.6786 | 0.4524 | 0.8142 |
| 0.1277 | 3.0 | 93 | 0.4097 | 0.9383 | 0.5588 | 0.6786 | 0.475 | 0.8164 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0