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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_390
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_390
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: 1.5427
- Accuracy: 0.9473
- 1-f1: 0.4583
- 1-recall: 0.3548
- 1-precision: 0.6471
- Balanced Acc: 0.6709
## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1683 | 1.0 | 31 | 0.3697 | 0.9331 | 0.5479 | 0.6452 | 0.4762 | 0.7988 |
| 0.0398 | 2.0 | 62 | 0.6004 | 0.9391 | 0.5588 | 0.6129 | 0.5135 | 0.7870 |
| 0.0248 | 3.0 | 93 | 0.6349 | 0.9412 | 0.6133 | 0.7419 | 0.5227 | 0.8482 |
| 0.6142 | 4.0 | 124 | 1.5427 | 0.9473 | 0.4583 | 0.3548 | 0.6471 | 0.6709 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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