mt5-base-finetuned-v1

mebrahimzadeh/mt5-base-finetuned-v1

mt5-base-finetuned-v1 is a summarization model from mebrahimzadeh. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Aug 10, 2022
Updated: Aug 17, 2022
SHA: 8ee2bac3

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mebrahimzadeh/summarization

Model card

From the Hugging Face model README

mt5-base-finetuned-v1

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

Loss: 1.087988
Rouge1: 1.2887
Rouge2: 0.1861
Rougel: 1.2862
Rougelsum: 1.2818

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5.6e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.223400	1	20437	1.153162	1.0624	0.1351	1.0668	1.0740
1.202900	2	40874	1.086163	1.1579	0.1426	1.1724	1.1599
1.173500	3	61311	1.087988	1.2887	0.1861	1.2862	1.2818

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Summarization
Library: transformers
Type: mt5
License: apache-2.0
Languages: fa
Created: Aug 10, 2022
Updated: Aug 17, 2022