t5-base-finetuned-xsum

salemmarah4/t5-base-finetuned-xsum

t5-base-finetuned-xsum is a machine learning model from salemmarah4. 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: Jan 29, 2023
Updated: Jan 30, 2023
SHA: f6632c8b

Model card

From the Hugging Face model README

salemmarah4/t5-base-finetuned-xsum

This model is a fine-tuned version of ThomasSimonini/t5-end2end-question-generation on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.4229
Validation Loss: 0.2018
Train Rouge1: 31.6228
Train Rouge2: 26.9829
Train Rougel: 30.4108
Train Rougelsum: 30.6027
Train Gen Len: 18.9996
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': 5e-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
0.4229	0.2018	31.6228	26.9829	30.4108	30.6027	18.9996	0

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 29, 2023
Updated: Jan 30, 2023