---
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_300
  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_300

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: 0.5852
- Accuracy: 0.8160
- 1-f1: 0.2183
- 1-recall: 0.9615
- 1-precision: 0.1232
- Balanced Acc: 0.8868

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2563        | 1.0   | 19   | 1.0216          | 0.5247   | 0.0976 | 0.9615   | 0.0514      | 0.7371       |
| 0.1999        | 2.0   | 38   | 0.6710          | 0.7205   | 0.1526 | 0.9423   | 0.0831      | 0.8283       |
| 0.2247        | 3.0   | 57   | 0.6479          | 0.7610   | 0.1741 | 0.9423   | 0.0959      | 0.8492       |
| 0.3245        | 4.0   | 76   | 0.4510          | 0.8499   | 0.2435 | 0.9038   | 0.1407      | 0.8762       |
| 0.0706        | 5.0   | 95   | 0.4701          | 0.8438   | 0.2400 | 0.9231   | 0.1379      | 0.8823       |
| 0.0537        | 6.0   | 114  | 0.5852          | 0.8160   | 0.2183 | 0.9615   | 0.1232      | 0.8868       |


### Framework versions

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