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roberta-large-data-seed-4 – AI Model by anas-awadalla | AlphaNeural AI
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roberta-large-data-seed-4
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transformers
pytorch
roberta
question-answering
generated_from_trainer
squad
mit
endpoints_compatible
us
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roberta-large-data-seed-4
This model is a fine-tuned version of
roberta-large
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: 12
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 24
total_eval_batch_size: 16
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 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.0.0
Tokenizers 0.11.6
