t5-small-finetuned-xsum

kurapy/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from kurapy. 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: May 27, 2022
Updated: May 27, 2022
SHA: 81e5bf79

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: 2.4782
Rouge1: 28.2621
Rouge2: 7.6583
Rougel: 22.1971
Rougelsum: 22.2
Gen Len: 18.8243

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: 16
eval_batch_size: 16
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
2.7138	1.0	12753	2.4782	28.2621	7.6583	22.1971	22.2	18.8243

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 27, 2022
Updated: May 27, 2022