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squad_v2_albert_finetuned
Yannis98/squad_v2_albert_finetuned
squad_v2_albert_finetuned is a question answering model from Yannis98. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Aug 8, 2024
- Updated
- Feb 11, 2025
- SHA
- f3b7801e
Try a prompt
Base models
Datasets
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. -->
Albert-Base-SQuADv2
This model is a fine-tuned version of Yannis98/Albert-Base-SQuADv2 on the rajpurkar/squad_v2 dataset.
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 512
- 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: 2.0
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Aug 8, 2024
- Updated
- Feb 11, 2025