README.md

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_model33
    results: []

populism_model33

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: 0.2434
• Accuracy: 0.9255
• F1: 0.6389
• Recall: 0.8214
• Precision: 0.5227

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	0.1994	0.9026	0.6047	0.9286	0.4483
No log	2.0	22	0.3397	0.9427	0.6774	0.75	0.6176
No log	3.0	33	0.2009	0.9112	0.6173	0.8929	0.4717
No log	4.0	44	0.2651	0.9312	0.6571	0.8214	0.5476
0.2119	5.0	55	0.2434	0.9255	0.6389	0.8214	0.5227

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0