thai-bert-multi-cased-finetuned-xquadv1-finetuned-squad
This model is a fine-tuned version of mrm8488/bert-multi-cased-finetuned-xquadv1 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": 57.39972337482711
"f1": 68.10794016188211
"total": 723
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
- Downloads last month
- 86
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.