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finetune_iapp_thaiqa – AI Model by MyMild | AlphaNeural AI
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finetune_iapp_thaiqa
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transformers
pytorch
tensorboard
camembert
question-answering
generated_from_trainer
endpoints_compatible
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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
