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t5-end2end-questions-generation – AI Model by sharanya02 | AlphaNeural AI

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sharanya02/
t5-end2end-questions-generation

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text2text-generation

generated_from_trainer

squad_modified_for_t5_qg

text-generation-inference

endpoints_compatible

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t5-end2end-questions-generation

This model is a fine-tuned version of t5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6634
eval_runtime: 95.9639
eval_samples_per_second: 21.539
eval_steps_per_second: 5.387
epoch: 1.02
step: 300

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: 7

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2