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finetune_iapp_thaiqa
MyMild/finetune_iapp_thaiqa
finetune_iapp_thaiqa is a question answering model from MyMild. 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
- camembert
- Access
- Public
- Created
- Jun 11, 2022
- Updated
- Jun 12, 2022
- SHA
- 46b6f7f0
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. -->
finetune_iapp_thaiqa
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.15.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- Created
- Jun 11, 2022
- Updated
- Jun 12, 2022