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_320
results: []
populism_classifier_bsample_320
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: 0.7841
- Accuracy: 0.7781
- 1-f1: 0.3361
- 1-recall: 1.0
- 1-precision: 0.2020
- Balanced Acc: 0.8824
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0313 | 1.0 | 6 | 0.5436 | 0.8567 | 0.4138 | 0.9 | 0.2687 | 0.8771 |
| 0.0193 | 2.0 | 12 | 0.6732 | 0.7921 | 0.3509 | 1.0 | 0.2128 | 0.8899 |
| 0.0453 | 3.0 | 18 | 0.7841 | 0.7781 | 0.3361 | 1.0 | 0.2020 | 0.8824 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3