---
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: deberta-semeval25task10-aya2en
  results: []
language:
- en
---

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# deberta-semeval25-fulltrain-translateen

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the "[Semeval-2025 Task 10, Subtask 2](https://propaganda.math.unipd.it/semeval2025task10/)" dataset.

## Model description

This model was trained for multi-label classification in the "SemEval 2025 Task 10, Subtask 2" taxonomy, with article texts translated into English by the [Aya Expanse 8B](https://huggingface.co/CohereForAI/aya-expanse-8b) model.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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: 10

### Training results



### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3