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roberta-base-finetuned-squad – AI Model by nmb-paperspace-hf | AlphaNeural AI
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roberta-base-finetuned-squad
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transformers
pytorch
optimum_graphcore
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta-base-finetuned-squad
This model is a fine-tuned version of
roberta-base
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: 1
eval_batch_size: 1
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 32
total_train_batch_size: 32
total_eval_batch_size: 5
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.25
num_epochs: 3
training precision: Mixed Precision
Training results
Framework versions
Transformers 4.20.1
Pytorch 1.10.0+cpu
Datasets 2.7.1
Tokenizers 0.12.1
