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_model71
results: []
populism_model71
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: 0.4874
- Accuracy: 0.9057
- F1: 0.6479
- Recall: 0.7931
- Precision: 0.5476
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 | 9 | 0.3403 | 0.8981 | 0.6582 | 0.8966 | 0.52 |
| No log | 2.0 | 18 | 0.4108 | 0.8981 | 0.6301 | 0.7931 | 0.5227 |
| No log | 3.0 | 27 | 0.4294 | 0.8981 | 0.6301 | 0.7931 | 0.5227 |
| No log | 4.0 | 36 | 0.4754 | 0.9057 | 0.6479 | 0.7931 | 0.5476 |
| No log | 5.0 | 45 | 0.4874 | 0.9057 | 0.6479 | 0.7931 | 0.5476 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0