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xlm-roberta-th-2 – AI Model by milohpeng | AlphaNeural AI
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milohpeng
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xlm-roberta-th-2
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
th
cc-by-4.0
endpoints_compatible
us
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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
