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phrase-bert-qa – AI Model by Deehan1866 | AlphaNeural AI
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Deehan1866
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phrase-bert-qa
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transformers
pytorch
bert
question-answering
generated_from_trainer
PiC/phrase_retrieval
endpoints_compatible
us
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finetuned
This model is a fine-tuned version of
whaleloops/phrase-bert
on the PiC/phrase_retrieval PR-pass 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: 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: 2.0
Training results
Framework versions
Transformers 4.20.1
Pytorch 1.10.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
