---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model256
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model256

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3875
- Accuracy: 0.9332
- 1-f1: 0.3704
- 1-recall: 0.5556
- 1-precision: 0.2778
- Balanced Acc: 0.7513

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3407        | 1.0   | 32   | 0.3131          | 0.9077   | 0.3733 | 0.7778   | 0.2456      | 0.8451       |
| 0.2965        | 2.0   | 64   | 0.3668          | 0.9352   | 0.3774 | 0.5556   | 0.2857      | 0.7523       |
| 0.2297        | 3.0   | 96   | 0.3875          | 0.9332   | 0.3704 | 0.5556   | 0.2778      | 0.7513       |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0