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tinybert-finetuned-squad – AI Model by Gholamreza | AlphaNeural AI
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Gholamreza
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tinybert-finetuned-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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tinybert-finetuned-squad
This model is a fine-tuned version of
prajjwal1/bert-tiny
on the squad 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
took about 8 mins to fine-tune on google colab {'exact_match': 32.04351939451277, 'f1': 44.36583937955441}
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
