metadata
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_297
results: []
populism_classifier_297
This model is a fine-tuned version of AnonymousCS/populism_english_bert_base_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4263
- Accuracy: 0.9586
- 1-f1: 0.5926
- 1-recall: 0.64
- 1-precision: 0.5517
- Balanced Acc: 0.8072
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.1698 | 1.0 | 17 | 0.2602 | 0.9380 | 0.5217 | 0.72 | 0.4091 | 0.8344 |
| 0.0829 | 2.0 | 34 | 0.4202 | 0.9549 | 0.52 | 0.52 | 0.52 | 0.7482 |
| 0.0353 | 3.0 | 51 | 0.4263 | 0.9586 | 0.5926 | 0.64 | 0.5517 | 0.8072 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3