t5-end2end-questions-generation

nocnack/t5-end2end-questions-generation

t5-end2end-questions-generation is a machine learning model from nocnack. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

319

Public

Repo size

3.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin892 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 1, 2023
Updated: May 1, 2023
SHA: 3a37831c

Datasets

squad_modified_for_t5_qg

Model card

From the Hugging Face model README

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:

Loss: 1.5922

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
2.5896	0.34	100	1.9178
1.9796	0.68	200	1.7354
1.8532	1.02	300	1.6729
1.7549	1.35	400	1.6448
1.7281	1.69	500	1.6299
1.7062	2.03	600	1.6161
1.6569	2.37	700	1.6079
1.6522	2.71	800	1.5971
1.6415	3.05	900	1.5955
1.6143	3.39	1000	1.5936
1.6152	3.73	1100	1.5922

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: May 1, 2023
Updated: May 1, 2023