---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-mushroom-qa
  results: []
---

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# xlm-roberta-mushroom-qa

This model was fine-tuned to tackle SemEval 2025 Task3: Mu-SHROOM. Its task is to extract hallucination spans from large language model output.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Fine-tuning hyperparameters

The following hyperparameters were used during fine-tuning:
- learning_rate: 5e-02
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 4.0

### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0