metadata
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_classifier_338
results: []
populism_classifier_338
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3150
- Accuracy: 0.9412
- 1-f1: 0.4082
- 1-recall: 0.3226
- 1-precision: 0.5556
- Balanced Acc: 0.6526
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 |
|---|---|---|---|---|---|---|---|---|
| 0.242 | 1.0 | 31 | 0.4530 | 0.9209 | 0.4935 | 0.6129 | 0.4130 | 0.7772 |
| 0.0589 | 2.0 | 62 | 0.5531 | 0.9290 | 0.5205 | 0.6129 | 0.4524 | 0.7816 |
| 0.0347 | 3.0 | 93 | 0.7793 | 0.9229 | 0.4722 | 0.5484 | 0.4146 | 0.7482 |
| 0.0249 | 4.0 | 124 | 1.3150 | 0.9412 | 0.4082 | 0.3226 | 0.5556 | 0.6526 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3