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---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_108
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_108
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: 0.5161
- Accuracy: 0.9833
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.9904 | 1.0 | 449 | 0.5873 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 1.9961 | 2.0 | 898 | 0.6242 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0078 | 3.0 | 1347 | 0.5733 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0098 | 4.0 | 1796 | 0.5604 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0112 | 5.0 | 2245 | 0.5326 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.8703 | 6.0 | 2694 | 0.5073 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.949 | 7.0 | 3143 | 0.5647 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 1.7042 | 8.0 | 3592 | 0.5161 | 0.9833 | 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
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