populism_model72
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: 0.2012
- Accuracy: 0.9586
- F1: 0.5926
- Recall: 0.8421
- Precision: 0.4571
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 | 17 | 0.2082 | 0.9568 | 0.5660 | 0.7895 | 0.4412 |
No log | 2.0 | 34 | 0.2183 | 0.9173 | 0.45 | 0.9474 | 0.2951 |
0.2076 | 3.0 | 51 | 0.1775 | 0.9549 | 0.6 | 0.9474 | 0.4390 |
0.2076 | 4.0 | 68 | 0.2110 | 0.9680 | 0.6531 | 0.8421 | 0.5333 |
0.2076 | 5.0 | 85 | 0.2012 | 0.9586 | 0.5926 | 0.8421 | 0.4571 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.