---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_289
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_bsample_289

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7323
- Accuracy: 0.6724
- 1-f1: 0.2945
- 1-recall: 0.8
- 1-precision: 0.1805
- Balanced Acc: 0.7302

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1987        | 1.0   | 6    | 1.2162          | 0.3903   | 0.2190 | 1.0      | 0.1230      | 0.6667       |
| 0.2692        | 2.0   | 12   | 1.0327          | 0.4302   | 0.2308 | 1.0      | 0.1304      | 0.6885       |
| 0.2042        | 3.0   | 18   | 0.6802          | 0.6182   | 0.2637 | 0.8      | 0.1579      | 0.7006       |
| 0.0901        | 4.0   | 24   | 1.0296          | 0.4843   | 0.2298 | 0.9      | 0.1317      | 0.6727       |
| 0.0841        | 5.0   | 30   | 0.7323          | 0.6724   | 0.2945 | 0.8      | 0.1805      | 0.7302       |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3