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pegasus-pubmed_radiology-ai-cardiothoracic-0.9 – AI Model by hisaoka | AlphaNeural AI
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hisaoka
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pegasus-pubmed_radiology-ai-cardiothoracic-0.9
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transformers
pytorch
pegasus
text2text-generation
generated_from_trainer
endpoints_compatible
us
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pegasus-pubmed_radiology-ai-cardiothoracic-0.9
This model is a fine-tuned version of
google/pegasus-pubmed
on the None 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: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Framework versions
Transformers 4.20.1
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.12.1
