---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model281
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model281

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5108
- Accuracy: 0.9447
- 1-f1: 0.4390
- 1-recall: 0.4091
- 1-precision: 0.4737
- Balanced Acc: 0.6919

## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3309        | 1.0   | 52   | 0.2748          | 0.9351   | 0.5424 | 0.7273   | 0.4324      | 0.8370       |
| 0.2264        | 2.0   | 104  | 0.2833          | 0.9327   | 0.5484 | 0.7727   | 0.425       | 0.8572       |
| 0.2288        | 3.0   | 156  | 0.5108          | 0.9447   | 0.4390 | 0.4091   | 0.4737      | 0.6919       |


### Framework versions

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