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_bsample_318
results: []
populism_classifier_bsample_318
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: 0.6020
- Accuracy: 0.8409
- 1-f1: 0.4000
- 1-recall: 0.8485
- 1-precision: 0.2617
- Balanced Acc: 0.8444
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 |
|---|---|---|---|---|---|---|---|---|
| 0.938 | 1.0 | 8 | 0.5434 | 0.8807 | 0.4706 | 0.8485 | 0.3256 | 0.8657 |
| 0.0738 | 2.0 | 16 | 1.3466 | 0.5795 | 0.2292 | 1.0 | 0.1294 | 0.7758 |
| 0.0551 | 3.0 | 24 | 0.6020 | 0.8409 | 0.4000 | 0.8485 | 0.2617 | 0.8444 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3