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natqa_albert_xl_finetuned – AI Model by shuheng | AlphaNeural AI
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shuheng
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natqa_albert_xl_finetuned
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transformers
tensorboard
safetensors
albert
question-answering
generated_from_trainer
lucadiliello/naturalquestionsshortqa
albert/albert-xlarge-v2
finetune
apache-2.0
endpoints_compatible
us
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natqa_albert_xl_finetuned
This model is a fine-tuned version of
albert/albert-xlarge-v2
on the lucadiliello/naturalquestionsshortqa 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: 32
eval_batch_size: 8
seed: 42
optimizer: Use 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: 6.0
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.21.0
