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library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_020
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_020
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5384
- Accuracy: 0.8939
- 1-f1: 0.6441
- 1-recall: 0.76
- 1-precision: 0.5588
- Balanced Acc: 0.8366
## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3826 | 1.0 | 7 | 0.3787 | 0.8889 | 0.6207 | 0.72 | 0.5455 | 0.8166 |
| 0.1424 | 2.0 | 14 | 0.3672 | 0.8838 | 0.6230 | 0.76 | 0.5278 | 0.8309 |
| 0.1413 | 3.0 | 21 | 0.3174 | 0.8687 | 0.6176 | 0.84 | 0.4884 | 0.8564 |
| 0.1002 | 4.0 | 28 | 0.6380 | 0.9192 | 0.6667 | 0.64 | 0.6957 | 0.7998 |
| 0.052 | 5.0 | 35 | 0.5384 | 0.8939 | 0.6441 | 0.76 | 0.5588 | 0.8366 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|