t5-small-finetuned-xsum

Rocketknight1/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from Rocketknight1. 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.

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 27, 2022
SHA: d4effe7c

Model card

From the Hugging Face model README

Rocketknight1/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:

Train Loss: 2.7172
Validation Loss: 2.3977
Train Rouge1: 28.7469
Train Rouge2: 7.9005
Train Rougel: 22.5917
Train Rougelsum: 22.6162
Train Gen Len: 18.875
Epoch: 0

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.7172	2.3977	28.7469	7.9005	22.5917	22.6162	18.875	0

Framework versions

Transformers 4.16.0.dev0
TensorFlow 2.8.0-rc0
Datasets 1.17.0
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 2, 2022
Updated: Jan 27, 2022