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library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_038
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_038
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1392
- Accuracy: 0.9827
- 1-f1: 0.8679
- 1-recall: 0.8519
- 1-precision: 0.8846
- Balanced Acc: 0.9219
## 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_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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1234 | 1.0 | 26 | 0.1017 | 0.9554 | 0.7429 | 0.9630 | 0.6047 | 0.9589 |
| 0.0492 | 2.0 | 52 | 0.0627 | 0.9802 | 0.8710 | 1.0 | 0.7714 | 0.9894 |
| 0.0165 | 3.0 | 78 | 0.0595 | 0.9827 | 0.8814 | 0.9630 | 0.8125 | 0.9735 |
| 0.4935 | 4.0 | 104 | 0.0797 | 0.9876 | 0.9091 | 0.9259 | 0.8929 | 0.9590 |
| 0.002 | 5.0 | 130 | 0.1392 | 0.9827 | 0.8679 | 0.8519 | 0.8846 | 0.9219 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
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