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t5-end2end-medical-question-generation – AI Model by OnePoint16 | AlphaNeural AI
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OnePoint16
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t5-end2end-medical-question-generation
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-end2end-medical-question-generation
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6158
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
0.7883
19.05
100
0.6212
0.3952
38.1
200
0.6158
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
