intai2070
/

tooka-bert-base-qa

Question Answering

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Model card Files Files and versions

trainer_output

This model is a fine-tuned version of PartAI/TookaBERT-Base on the IRI2070/PersianSQuAD_v2_fa_tourism_agumented 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: 3e-05
train_batch_size: 40
eval_batch_size: 40
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 5.0.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.22.1

Downloads last month: 13

Safetensors

Model size

0.1B params

Tensor type

F32

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Dataset used to train intai2070/tooka-bert-base-qa