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t5-qg – AI Model by minwooeom | AlphaNeural AI
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t5-qg
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
squad_modified_for_t5_qg
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-qg
This model is a fine-tuned version of
t5-small
on the squad_modified_for_t5_qg 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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
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 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
