t5-small-finetuned-xsum

testytest/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from testytest. 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: Aug 2, 2023
Updated: Aug 3, 2023
SHA: 2bc67874

Base models

Model card

From the Hugging Face model README

t5-small-finetuned-xsum

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

Loss: 0.0162
Rouge1: 98.555
Rouge2: 97.81
Rougel: 98.5536
Rougelsum: 98.557
Gen Len: 9.851

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0416	1.0	5986	0.0238	98.3612	97.6286	98.3553	98.3578	9.8923
0.0229	2.0	11972	0.0179	98.4752	97.7159	98.4754	98.4757	9.8488
0.0201	3.0	17958	0.0162	98.555	97.81	98.5536	98.557	9.851

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 2, 2023
Updated: Aug 3, 2023