---
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: []
---

<!-- 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_model343

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/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