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rinna-roberta-qa-ar – AI Model by Echiguerkh | AlphaNeural AI
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rinna-roberta-qa-ar
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transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
arcd
mit
endpoints_compatible
us
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rinna-roberta-qa-ar
This model is a fine-tuned version of
xlm-roberta-base
on the arcd 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: 7e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
