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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_bsample_120
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_bsample_120
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: 1.3466
- Accuracy: 0.1082
- 1-f1: 0.1730
- 1-recall: 1.0
- 1-precision: 0.0947
- Balanced Acc: 0.5082
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6258 | 1.0 | 8 | 1.3919 | 0.0970 | 0.1712 | 1.0 | 0.0936 | 0.5021 |
| 0.5278 | 2.0 | 16 | 0.9284 | 0.0933 | 0.1706 | 1.0 | 0.0933 | 0.5 |
| 0.6457 | 3.0 | 24 | 1.1127 | 0.0970 | 0.1712 | 1.0 | 0.0936 | 0.5021 |
| 0.6376 | 4.0 | 32 | 0.8466 | 0.2836 | 0.1864 | 0.88 | 0.1043 | 0.5511 |
| 0.6046 | 5.0 | 40 | 1.1662 | 0.1567 | 0.1812 | 1.0 | 0.0996 | 0.5350 |
| 0.5797 | 6.0 | 48 | 1.3466 | 0.1082 | 0.1730 | 1.0 | 0.0947 | 0.5082 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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