Downloads · 30 days
24
4% of all-time downloads
wangchanberta-wiki-qa-finetuned-squad
SiraH/wangchanberta-wiki-qa-finetuned-squad
wangchanberta-wiki-qa-finetuned-squad is a question answering model from SiraH. 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. --
All-time downloads
610
Public
Repo size
1.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin416 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Sep 6, 2022
- Updated
- Sep 6, 2022
- SHA
- 8eab8b78
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. -->
wangchanberta-wiki-qa-finetuned-squad
This model is a fine-tuned version of airesearch/wangchanberta-base-wiki-20210520-spm-finetune-qa on the iapp_wiki_qa_squad 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- Languages
- th
- Created
- Sep 6, 2022
- Updated
- Sep 6, 2022