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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_363
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_bsample_363
This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1737
- Accuracy: 0.7252
- 1-f1: 0.2174
- 1-recall: 0.6757
- 1-precision: 0.1295
- Balanced Acc: 0.7019
## 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: 32
- 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2716 | 1.0 | 9 | 1.0455 | 0.7969 | 0.2570 | 0.6216 | 0.1620 | 0.7145 |
| 0.1207 | 2.0 | 18 | 1.4628 | 0.5786 | 0.1786 | 0.8108 | 0.1003 | 0.6878 |
| 0.1319 | 3.0 | 27 | 0.9943 | 0.7359 | 0.2172 | 0.6486 | 0.1304 | 0.6949 |
| 0.0606 | 4.0 | 36 | 1.1237 | 0.7084 | 0.2075 | 0.6757 | 0.1225 | 0.6930 |
| 0.1509 | 5.0 | 45 | 1.1737 | 0.7252 | 0.2174 | 0.6757 | 0.1295 | 0.7019 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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