flan-t5-large-extraction-all-dm_2000-ep1-nonstop

Zekunli/flan-t5-large-extraction-all-dm_2000-ep1-nonstop

flan-t5-large-extraction-all-dm_2000-ep1-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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 17, 2023
Updated: Apr 17, 2023
SHA: 8a65b889

Model card

From the Hugging Face model README

flan-t5-large-extraction-all-dm_2000-ep1-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: 1.7533
Hint Hit Num: 2.5596
Hint Precision: 0.4547
Num: 5.6376
Gen Len: 18.9593

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Hint Hit Num	Hint Precision	Num	Gen Len
2.4984	0.6	100	1.7721	2.5428	0.4477	5.6636	18.9525

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