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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: populism_classifier_bsample_178
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_178
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: 0.7923
- Accuracy: 0.7543
- 1-f1: 0.2308
- 1-recall: 0.9375
- 1-precision: 0.1316
- Balanced Acc: 0.8422
## 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: 32
- eval_batch_size: 32
- 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: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0495 | 1.0 | 4 | 1.1647 | 0.6781 | 0.1963 | 1.0 | 0.1088 | 0.8325 |
| 0.0901 | 2.0 | 8 | 0.6259 | 0.8034 | 0.2593 | 0.875 | 0.1522 | 0.8378 |
| 0.1012 | 3.0 | 12 | 0.5106 | 0.8673 | 0.325 | 0.8125 | 0.2031 | 0.8410 |
| 0.019 | 4.0 | 16 | 0.6980 | 0.7764 | 0.2479 | 0.9375 | 0.1429 | 0.8537 |
| 0.0478 | 5.0 | 20 | 0.7923 | 0.7543 | 0.2308 | 0.9375 | 0.1316 | 0.8422 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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