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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: antielite_classifier_all
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. -->
# antielite_classifier_all
This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7651
- Accuracy: 0.9293
- 1-f1: 0.6331
- 1-recall: 0.6543
- 1-precision: 0.6133
- Balanced Acc: 0.8060
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3031 | 1.0 | 871 | 0.3153 | 0.8819 | 0.5737 | 0.8522 | 0.4324 | 0.8686 |
| 0.2011 | 2.0 | 1742 | 0.3090 | 0.8848 | 0.5852 | 0.8714 | 0.4405 | 0.8788 |
| 0.1064 | 3.0 | 2613 | 0.5096 | 0.9195 | 0.6345 | 0.7498 | 0.5500 | 0.8434 |
| 0.0961 | 4.0 | 3484 | 0.7651 | 0.9293 | 0.6331 | 0.6543 | 0.6133 | 0.8060 |
### Framework versions
- Transformers 5.8.0.dev0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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