t5-small-finetuned-cnndm2-wikihow1

Chikashi/t5-small-finetuned-cnndm2-wikihow1

t5-small-finetuned-cnndm2-wikihow1 is a machine learning model from Chikashi. 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: Apr 15, 2022
Updated: Apr 15, 2022
SHA: 4fb5227b

Datasets

cnn_dailymail

Model card

From the Hugging Face model README

t5-small-finetuned-cnndm2-wikihow1

This model is a fine-tuned version of Chikashi/t5-small-finetuned-cnndm1-wikihow1 on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

Loss: 1.6305
Rouge1: 24.6317
Rouge2: 11.8655
Rougel: 20.3598
Rougelsum: 23.2467
Gen Len: 18.9996

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: 0.0003
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
1.8062	1.0	71779	1.6305	24.6317	11.8655	20.3598	23.2467	18.9996

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 15, 2022
Updated: Apr 15, 2022