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library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_405
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_405
This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6718
- Accuracy: 0.9316
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5
## 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: 16
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5294 | 1.0 | 95 | 0.6951 | 0.4474 | 0.0870 | 0.3846 | 0.0490 | 0.4183 |
| 0.4281 | 2.0 | 190 | 0.7576 | 0.2395 | 0.0707 | 0.4231 | 0.0386 | 0.3245 |
| 0.6661 | 3.0 | 285 | 0.8551 | 0.0684 | 0.1281 | 1.0 | 0.0684 | 0.5 |
| 0.6035 | 4.0 | 380 | 0.6809 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.451 | 5.0 | 475 | 0.6636 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6474 | 6.0 | 570 | 0.6653 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.8721 | 7.0 | 665 | 0.7759 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6361 | 8.0 | 760 | 0.6713 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4965 | 9.0 | 855 | 0.7745 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.8257 | 10.0 | 950 | 0.6718 | 0.9316 | 0.0 | 0.0 | 0.0 | 0.5 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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