t5-small-finetuned-xsum-ashishkhandelwal

ashish23993/t5-small-finetuned-xsum-ashishkhandelwal

t5-small-finetuned-xsum-ashishkhandelwal is a machine learning model from ashish23993. 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: Oct 31, 2022
Updated: Oct 31, 2022
SHA: ff199270

Datasets

multi_news

Model card

From the Hugging Face model README

t5-small-finetuned-xsum-ashishkhandelwal

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

Loss: 2.7453
Rouge1: 14.7089
Rouge2: 4.6798
Rougel: 11.2024
Rougelsum: 13.0025
Gen Len: 18.9968

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
2.9805	1.0	2811	2.7453	14.7089	4.6798	11.2024	13.0025	18.9968

Framework versions

Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 31, 2022
Updated: Oct 31, 2022