---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_124
  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_124

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8642
- Accuracy: 0.8737
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5

## 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: 16
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6785        | 1.0   | 50   | 0.9211          | 0.8737   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.7742        | 2.0   | 100  | 1.0516          | 0.8737   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.7741        | 3.0   | 150  | 0.8411          | 0.8737   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.592         | 4.0   | 200  | 0.6773          | 0.8030   | 0.3158 | 0.36     | 0.2812      | 0.6135       |
| 0.5599        | 5.0   | 250  | 0.7592          | 0.8737   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6504        | 6.0   | 300  | 0.8642          | 0.8737   | 0.0    | 0.0      | 0.0         | 0.5          |


### Framework versions

- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4