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xlm-roberta-mushroom-qa
MichielPronk/xlm-roberta-mushroom-qa
xlm-roberta-mushroom-qa is a question answering model from MichielPronk. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 15, 2025
- Updated
- Feb 26, 2025
- SHA
- dd4eb09c
Try a prompt
Model card
From the Hugging Face model README
<!-- 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. -->
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
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Feb 15, 2025
- Updated
- Feb 26, 2025