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Hyeoni/
t5-e2e-questions-generation-KorQuAD

Name: t5-e2e-questions-generation-KorQuAD
Availability: InStock

transformers

pytorch

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 digit82/kolang-t5-base on the korquad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:

Loss: 2.1449

Model description

More information needed

Training and evaluation data

KorQuAD V1.0

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

Training results

Training Loss	Epoch	Step	Validation Loss
3.6685	0.66	100	2.4355
2.3957	1.32	200	2.2428
2.1795	1.98	300	2.1664
1.9408	2.65	400	2.1467
1.8333	3.31	500	2.1470
1.7319	3.97	600	2.1194
1.6095	4.63	700	2.1348
1.5662	5.3	800	2.1433
1.5038	5.96	900	2.1319
1.45	6.62	1000	2.1449

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Hyeoni/t5-e2e-questions-generation-KorQuAD