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_model63
results: []
populism_model63
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: 0.3921
- Accuracy: 0.9370
- F1: 0.4474
- Recall: 0.5862
- Precision: 0.3617
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 | 21 | 0.2779 | 0.8936 | 0.3932 | 0.7931 | 0.2614 |
| No log | 2.0 | 42 | 0.2740 | 0.9145 | 0.4242 | 0.7241 | 0.3 |
| 0.3066 | 3.0 | 63 | 0.3537 | 0.9400 | 0.4872 | 0.6552 | 0.3878 |
| 0.3066 | 4.0 | 84 | 0.4256 | 0.9370 | 0.4167 | 0.5172 | 0.3488 |
| 0.1987 | 5.0 | 105 | 0.3921 | 0.9370 | 0.4474 | 0.5862 | 0.3617 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0