t5-small-finetuned-xsum

TheLongSentance/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from TheLongSentance. 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: Mar 2, 2022
Updated: Jul 24, 2021
SHA: 17ffbc19

Datasets

xsum

Model card

From the Hugging Face model README

t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:

Loss: 2.3833
Rouge1: 29.6452
Rouge2: 8.6953
Rougel: 23.4474
Rougelsum: 23.4553
Gen Len: 18.8037

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.6051	1.0	102023	2.3833	29.6452	8.6953	23.4474	23.4553	18.8037

Framework versions

Transformers 4.9.0
Pytorch 1.9.0+cu102
Datasets 1.10.2
Tokenizers 0.10.3

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 2, 2022
Updated: Jul 24, 2021