t5-small-finetuned-xsum

Leoxie2000/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from Leoxie2000. 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: Feb 28, 2023
Updated: Feb 28, 2023
SHA: 27071edb

Datasets

samsum

Model card

From the Hugging Face model README

t5-small-finetuned-xsum

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

Loss: 1.9223
Rouge1: 38.7231
Rouge2: 16.4719
Rougel: 32.3585
Rougelsum: 35.8234
Gen Len: 16.209

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
2.1235	1.0	921	1.9223	38.7231	16.4719	32.3585	35.8234	16.209

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 28, 2023
Updated: Feb 28, 2023