t5-small-finetuned-xsum-original

RenZHU/t5-small-finetuned-xsum-original

t5-small-finetuned-xsum-original is a machine learning model from RenZHU. 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: Jan 9, 2022
SHA: 90fe5b7b

Datasets

xsum

Model card

From the Hugging Face model README

t5-small-finetuned-xsum-original

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

Loss: 2.4436
Rouge1: 28.8838
Rouge2: 8.1114
Rougel: 22.8318
Rougelsum: 22.8318
Gen Len: 18.8141

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: 4
eval_batch_size: 4
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
2.6754	1.0	51012	2.4436	28.8838	8.1114	22.8318	22.8318	18.8141

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.17.1.dev0
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 2, 2022
Updated: Jan 9, 2022