metadata
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model334
results: []
populism_model334
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1925
- Accuracy: 0.9273
- 1-f1: 0.9286
- 1-recall: 0.9630
- 1-precision: 0.8966
- Balanced Acc: 0.9279
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 OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 0.1274 | 0.8909 | 0.8966 | 0.9630 | 0.8387 | 0.8922 |
| No log | 2.0 | 4 | 0.1776 | 0.9091 | 0.9123 | 0.9630 | 0.8667 | 0.9101 |
| No log | 3.0 | 6 | 0.1925 | 0.9273 | 0.9286 | 0.9630 | 0.8966 | 0.9279 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1