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pubmedqa_roberta_large – AI Model by Shaier | AlphaNeural AI
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Shaier
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pubmedqa_roberta_large
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transformers
pytorch
roberta
multiple-choice
generated_from_trainer
pubmed_qa
mit
endpoints_compatible
us
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pubmedqa_roberta_large
This model is a fine-tuned version of
roberta-large
on the pubmed_qa 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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 25
total_train_batch_size: 50
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
3
10
0.9957
0.552
Framework versions
Transformers 4.25.1
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.11.0
