---
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_classifier_bsample_377
  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_classifier_bsample_377

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: 0.9156
- Accuracy: 0.7233
- 1-f1: 0.2564
- 1-recall: 0.8929
- 1-precision: 0.1497
- Balanced Acc: 0.8033

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1384        | 1.0   | 7    | 1.2863          | 0.9256   | 0.3158 | 0.3214   | 0.3103      | 0.6406       |
| 0.9493        | 2.0   | 14   | 0.7243          | 0.8206   | 0.3088 | 0.75     | 0.1944      | 0.7873       |
| 0.1129        | 3.0   | 21   | 0.8235          | 0.6947   | 0.2453 | 0.9286   | 0.1413      | 0.8050       |
| 0.0443        | 4.0   | 28   | 0.9156          | 0.7233   | 0.2564 | 0.8929   | 0.1497      | 0.8033       |


### Framework versions

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