---
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_296
  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_296

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: 0.8082
- Accuracy: 0.7750
- 1-f1: 0.1695
- 1-recall: 0.8
- 1-precision: 0.0948
- Balanced Acc: 0.7871

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2066        | 1.0   | 9    | 1.3505          | 0.6016   | 0.1170 | 0.92     | 0.0625      | 0.7561       |
| 0.1832        | 2.0   | 18   | 0.7721          | 0.7256   | 0.1555 | 0.88     | 0.0853      | 0.8005       |
| 0.1062        | 3.0   | 27   | 0.7353          | 0.7382   | 0.1618 | 0.88     | 0.0891      | 0.8070       |
| 0.0385        | 4.0   | 36   | 0.7675          | 0.7543   | 0.1575 | 0.8      | 0.0873      | 0.7765       |
| 0.0432        | 5.0   | 45   | 0.8082          | 0.7750   | 0.1695 | 0.8      | 0.0948      | 0.7871       |


### Framework versions

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