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t5-large_radiology-ai-cardiothoracic-0.9 – AI Model by hisaoka | AlphaNeural AI

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hisaoka/
t5-large_radiology-ai-cardiothoracic-0.9

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-large_radiology-ai-cardiothoracic-0.9

This model is a fine-tuned version of t5-large 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