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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_316
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_316
This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6095
- Accuracy: 0.9699
- 1-f1: 0.0357
- 1-recall: 0.0333
- 1-precision: 0.0385
- Balanced Acc: 0.5096
## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6548 | 1.0 | 113 | 0.4252 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6664 | 2.0 | 226 | 0.4172 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.8151 | 3.0 | 339 | 0.5089 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2963 | 4.0 | 452 | 0.3818 | 0.9722 | 0.0 | 0.0 | 0.0 | 0.4943 |
| 0.3041 | 5.0 | 565 | 0.3744 | 0.9499 | 0.0625 | 0.1 | 0.0455 | 0.5322 |
| 0.3154 | 6.0 | 678 | 0.4617 | 0.9777 | 0.0476 | 0.0333 | 0.0833 | 0.5136 |
| 0.3114 | 7.0 | 791 | 0.6197 | 0.9772 | 0.0 | 0.0 | 0.0 | 0.4969 |
| 0.2294 | 8.0 | 904 | 0.6095 | 0.9699 | 0.0357 | 0.0333 | 0.0385 | 0.5096 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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