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library_name: transformers
license: mit
base_model: AnonymousCS/populism_xlmr_large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_219
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_219
This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2091
- Accuracy: 0.9530
- 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.377 | 1.0 | 133 | 0.2094 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1239 | 2.0 | 266 | 0.2238 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0267 | 3.0 | 399 | 0.2084 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.3153 | 4.0 | 532 | 0.2181 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1355 | 5.0 | 665 | 0.2117 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.254 | 6.0 | 798 | 0.2051 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1474 | 7.0 | 931 | 0.2274 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4169 | 8.0 | 1064 | 0.1994 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1495 | 9.0 | 1197 | 0.1939 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1415 | 10.0 | 1330 | 0.2062 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4378 | 11.0 | 1463 | 0.2287 | 0.9530 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0221 | 12.0 | 1596 | 0.2091 | 0.9530 | 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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