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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_modernbert_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model147
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_model147
This model is a fine-tuned version of [AnonymousCS/populism_multilingual_modernbert_base](https://huggingface.co/AnonymousCS/populism_multilingual_modernbert_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4476
- Accuracy: 0.95
- 1-f1: 0.6275
- 1-recall: 0.6154
- 1-precision: 0.64
- Balanced Acc: 0.7950
## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| No log | 1.0 | 24 | 0.2969 | 0.9263 | 0.5882 | 0.7692 | 0.4762 | 0.8535 |
| 0.2329 | 2.0 | 48 | 0.4029 | 0.95 | 0.6545 | 0.6923 | 0.6207 | 0.8306 |
| 0.1096 | 3.0 | 72 | 0.4476 | 0.95 | 0.6275 | 0.6154 | 0.64 | 0.7950 |
### Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
|