t5-small-finetuned-xsum

evangeloc/t5-small-finetuned-xsum

t5-small-finetuned-xsum is a machine learning model from evangeloc. 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: Jun 11, 2022
Updated: Nov 23, 2023
SHA: f70d4f6d

Model card

From the Hugging Face model README

evangeloc/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: 2.7203
Validation Loss: 2.4006
Train Rouge1: 28.1689
Train Rouge2: 7.9798
Train Rougel: 22.6998
Train Rougelsum: 22.7228
Train Gen Len: 18.865
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
2.7203	2.4006	28.1689	7.9798	22.6998	22.7228	18.865	0

Framework versions

Transformers 4.19.4
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 11, 2022
Updated: Nov 23, 2023