metadata
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model64
results: []
populism_model64
This model is a fine-tuned version of AnonymousCS/populism_multilingual_roberta_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2136
- Accuracy: 0.9083
- F1: 0.5455
- Recall: 0.9
- Precision: 0.3913
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 11 | 0.2962 | 0.8226 | 0.3958 | 0.95 | 0.25 |
| No log | 2.0 | 22 | 0.2269 | 0.8777 | 0.4872 | 0.95 | 0.3276 |
| No log | 3.0 | 33 | 0.2295 | 0.8807 | 0.4935 | 0.95 | 0.3333 |
| No log | 4.0 | 44 | 0.2142 | 0.9144 | 0.5484 | 0.85 | 0.4048 |
| 0.2647 | 5.0 | 55 | 0.2136 | 0.9083 | 0.5455 | 0.9 | 0.3913 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0