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_292
results: []
populism_classifier_292
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: 0.3849
- Accuracy: 0.9121
- 1-f1: 0.5263
- 1-recall: 0.7576
- 1-precision: 0.4032
- Balanced Acc: 0.8402
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 |
|---|---|---|---|---|---|---|---|---|
| 0.4264 | 1.0 | 16 | 0.2838 | 0.8457 | 0.4397 | 0.9394 | 0.2870 | 0.8893 |
| 0.3594 | 2.0 | 32 | 0.3208 | 0.8086 | 0.3951 | 0.9697 | 0.2481 | 0.8836 |
| 0.261 | 3.0 | 48 | 0.2826 | 0.8672 | 0.4516 | 0.8485 | 0.3077 | 0.8585 |
| 0.1716 | 4.0 | 64 | 0.3163 | 0.8672 | 0.4426 | 0.8182 | 0.3034 | 0.8444 |
| 0.1221 | 5.0 | 80 | 0.3849 | 0.9121 | 0.5263 | 0.7576 | 0.4032 | 0.8402 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3