metadata
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model38
results: []
populism_model38
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1746
- Accuracy: 0.9736
- F1: 0.7556
- Recall: 0.8947
- Precision: 0.6538
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 | 0.1584 | 0.9231 | 0.5429 | 1.0 | 0.3725 |
| No log | 2.0 | 26 | 0.1533 | 0.9591 | 0.6667 | 0.8947 | 0.5312 |
| No log | 3.0 | 39 | 0.1583 | 0.9663 | 0.7083 | 0.8947 | 0.5862 |
| 0.2092 | 4.0 | 52 | 0.1999 | 0.9712 | 0.7143 | 0.7895 | 0.6522 |
| 0.2092 | 5.0 | 65 | 0.1746 | 0.9736 | 0.7556 | 0.8947 | 0.6538 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0