metadata
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model356
results: []
populism_model356
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5670
- Accuracy: 0.6984
- 1-f1: 0.7164
- 1-recall: 0.7742
- 1-precision: 0.6667
- Balanced Acc: 0.6996
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 OptimizerNames.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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.8437 | 1.0 | 2 | 0.8034 | 0.6032 | 0.3902 | 0.2581 | 0.8 | 0.5978 |
| 0.7286 | 2.0 | 4 | 0.6622 | 0.6349 | 0.6849 | 0.8065 | 0.5952 | 0.6376 |
| 0.5573 | 3.0 | 6 | 0.5795 | 0.6984 | 0.6780 | 0.6452 | 0.7143 | 0.6976 |
| 0.4996 | 4.0 | 8 | 0.5647 | 0.6984 | 0.6984 | 0.7097 | 0.6875 | 0.6986 |
| 0.4434 | 5.0 | 10 | 0.5670 | 0.6984 | 0.7164 | 0.7742 | 0.6667 | 0.6996 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1