t5-base-finetuned-eli5-a

ammarpl/t5-base-finetuned-eli5-a

t5-base-finetuned-eli5-a is a machine learning model from ammarpl. 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: Sep 26, 2022
Updated: Sep 26, 2022
SHA: 553a969c

Datasets

eli5

Model card

From the Hugging Face model README

t5-base-finetuned-eli5-a

This model is a fine-tuned version of ammarpl/t5-base-finetuned-xsum-a on the eli5 dataset. It achieves the following results on the evaluation set:

Loss: 3.1773
Rouge1: 14.6711
Rouge2: 2.2878
Rougel: 11.3676
Rougelsum: 13.1805
Gen Len: 18.9892

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.3417	1.0	17040	3.1773	14.6711	2.2878	11.3676	13.1805	18.9892

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 26, 2022
Updated: Sep 26, 2022