flan-t5-base-samsum

Di1/flan-t5-base-samsum

flan-t5-base-samsum is a machine learning model from Di1. 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

—

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.json2.4 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 8, 2023
Updated: May 8, 2023
SHA: 152d7a05

Datasets

samsum

Model card

From the Hugging Face model README

flan-t5-base-samsum

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

Loss: 1.3871
Rouge1: 46.7739
Rouge2: 23.1424
Rougel: 39.2473
Rougelsum: 43.0009
Gen Len: 17.2259

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4376	1.0	1842	1.3871	46.7739	23.1424	39.2473	43.0009	17.2259

Framework versions

Transformers 4.28.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: May 8, 2023
Updated: May 8, 2023