---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model181
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model181

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5049
- Accuracy: 0.9167
- 1-f1: 0.4550
- 1-recall: 0.5854
- 1-precision: 0.3721
- Balanced Acc: 0.7615

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.4237        | 1.0   | 173  | 0.3671          | 0.7918   | 0.3383 | 0.8963   | 0.2085      | 0.8408       |
| 0.2901        | 2.0   | 346  | 0.3600          | 0.8686   | 0.4117 | 0.7744   | 0.2804      | 0.8245       |
| 0.1972        | 3.0   | 519  | 0.5049          | 0.9167   | 0.4550 | 0.5854   | 0.3721      | 0.7615       |


### Framework versions

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