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trivia_albert_finetuned – AI Model by Yannis98 | AlphaNeural AI

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Yannis98/
trivia_albert_finetuned

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0

question-answering

generated_from_trainer

TimoImhof/TriviaQA-in-SQuAD-format

albert/albert-base-v2

endpoints_compatible

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trivia_albert_finetuned

This model is a fine-tuned version of albert/albert-base-v2 on the TimoImhof/TriviaQA-in-SQuAD-format 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: 48
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: 4.0

Training results

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.21.0