flan-t5-large-extraction-all-dm_2000-ep2-nonstop

Zekunli/flan-t5-large-extraction-all-dm_2000-ep2-nonstop

flan-t5-large-extraction-all-dm_2000-ep2-nonstop is a machine learning model from Zekunli. 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

26% of all-time downloads

All-time downloads

Public

Repo size

15.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin3.1 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 17, 2023
Updated: Apr 17, 2023
SHA: 7b6d00ab

Model card

From the Hugging Face model README

flan-t5-large-extraction-all-dm_2000-ep2-nonstop

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6959
Hint Hit Num: 2.5114
Hint Precision: 0.4531
Num: 5.5433
Gen Len: 18.9103

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: 2e-05
train_batch_size: 12
eval_batch_size: 96
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.48	0.6	100	1.7493	2.5632	0.4489	5.7323	18.9804
2.1318	1.2	200	1.7111	2.5271	0.453	5.5888	18.9218
2.078	1.8	300	1.6955	2.5158	0.4533	5.5528	18.9217

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 17, 2023
Updated: Apr 17, 2023