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bert-base-uncased-few-shot-k-128-finetuned-squad-seed-8 – AI Model by anas-awadalla | AlphaNeural AI
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anas-awadalla
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bert-base-uncased-few-shot-k-128-finetuned-squad-seed-8
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transformers
pytorch
bert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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bert-base-uncased-few-shot-k-128-finetuned-squad-seed-8
This model is a fine-tuned version of
bert-base-uncased
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 200
Training results
Framework versions
Transformers 4.16.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.17.0
Tokenizers 0.10.3
