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tiny-bert-qa – AI Model by srcocotero | AlphaNeural AI

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srcocotero/
tiny-bert-qa

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question-answering

generated_from_trainer

endpoints_compatible

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mini_model

This model is a fine-tuned version of nreimers/BERT-Tiny_L-2_H-128_A-2 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: 3e-05
train_batch_size: 5
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1