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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_cased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_156
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_156
This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_cased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_cased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7883
- Accuracy: 0.8304
- 1-f1: 0.3359
- 1-recall: 0.8148
- 1-precision: 0.2115
- Balanced Acc: 0.8230
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0467 | 1.0 | 8 | 0.6985 | 0.8967 | 0.3908 | 0.6296 | 0.2833 | 0.7706 |
| 0.0709 | 2.0 | 16 | 1.2236 | 0.5906 | 0.2045 | 1.0 | 0.1139 | 0.7840 |
| 0.0972 | 3.0 | 24 | 0.5583 | 0.8713 | 0.3774 | 0.7407 | 0.2532 | 0.8097 |
| 0.0196 | 4.0 | 32 | 1.1293 | 0.6316 | 0.2222 | 1.0 | 0.125 | 0.8056 |
| 0.0666 | 5.0 | 40 | 0.7883 | 0.8304 | 0.3359 | 0.8148 | 0.2115 | 0.8230 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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