File size: 2,219 Bytes
1df73bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | ---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_057
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_057
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4919
- Accuracy: 0.9394
- 1-f1: 0.48
- 1-recall: 0.5
- 1-precision: 0.4615
- Balanced Acc: 0.7327
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3762 | 1.0 | 27 | 0.3766 | 0.8834 | 0.375 | 0.625 | 0.2679 | 0.7619 |
| 0.256 | 2.0 | 54 | 0.3789 | 0.9231 | 0.4923 | 0.6667 | 0.3902 | 0.8025 |
| 0.1733 | 3.0 | 81 | 0.3584 | 0.8462 | 0.3654 | 0.7917 | 0.2375 | 0.8205 |
| 0.5454 | 4.0 | 108 | 0.7482 | 0.9487 | 0.3889 | 0.2917 | 0.5833 | 0.6397 |
| 0.108 | 5.0 | 135 | 0.4919 | 0.9394 | 0.48 | 0.5 | 0.4615 | 0.7327 |
### Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
|