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xlm-roberta-th-2
milohpeng/xlm-roberta-th-2
xlm-roberta-th-2 is a question answering model from milohpeng. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 19, 2023
- Updated
- Jan 19, 2023
- SHA
- 46dad53a
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. -->
thai-squad
This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on Thai dataset from iApp Technology Co., Ltd..
Intended uses & limitations
This model intends to use with Thai question and answering task
Training and evaluation data
Trained and evaluated by iApp Technology Co., Ltd. dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Performance
Evaluated on the SQuAD 1.0 test dataset
"exact": 62.51728907330567
"f1": 73.62388955749958
"total": 723
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- cc-by-4.0
- Languages
- th
- Created
- Jan 19, 2023
- Updated
- Jan 19, 2023