summarization-mT5-base-allXsum_20230203

Toshifumi/summarization-mT5-base-allXsum_20230203

summarization-mT5-base-allXsum_20230203 is a machine learning model from Toshifumi. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Feb 3, 2023
Updated: Feb 3, 2023
SHA: 7a59384c

Model card

From the Hugging Face model README

summarization-mT5-base-allXsum_20230203

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.3421
Validation Loss: 2.0134
Train Rougel: tf.Tensor(0.23906478, shape=(), dtype=float32)
Epoch: 2

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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rougel	Epoch
3.3550	2.2262	tf.Tensor(0.21612057, shape=(), dtype=float32)	0
2.5083	2.0820	tf.Tensor(0.23286958, shape=(), dtype=float32)	1
2.3421	2.0134	tf.Tensor(0.23906478, shape=(), dtype=float32)	2

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Feb 3, 2023
Updated: Feb 3, 2023