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_model65
results: []
populism_model65
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: 0.3205
- Accuracy: 0.9423
- F1: 0.5385
- Recall: 0.7368
- Precision: 0.4242
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 | 13 | 0.2094 | 0.9351 | 0.5263 | 0.7895 | 0.3947 |
| No log | 2.0 | 26 | 0.2631 | 0.9207 | 0.4762 | 0.7895 | 0.3409 |
| No log | 3.0 | 39 | 0.2801 | 0.9375 | 0.5185 | 0.7368 | 0.4 |
| 0.2087 | 4.0 | 52 | 0.4120 | 0.9543 | 0.5366 | 0.5789 | 0.5 |
| 0.2087 | 5.0 | 65 | 0.3205 | 0.9423 | 0.5385 | 0.7368 | 0.4242 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0