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question_answering_T5_seq_to_seq_med_dataset – AI Model by Meziane | AlphaNeural AI
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Meziane
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question_answering_T5_seq_to_seq_med_dataset
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transformers
tensorboard
safetensors
t5
question-answering
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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question_answering_T5_seq_to_seq_med_dataset
This model is a fine-tuned version of
google-t5/t5-small
on an unknown 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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
