mt5-base-finetuned-summarization-Arabic

shahadalll/mt5-base-finetuned-summarization-Arabic

mt5-base-finetuned-summarization-Arabic is a machine learning model from shahadalll. 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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Feb 27, 2024
Updated: Feb 27, 2024
SHA: c64f9134

Base models

google/mt5-base

Model card

From the Hugging Face model README

mt5-base-finetuned-summarization-Arabic

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

Loss: 2.0374
Rouge1: 6.357
Rouge2: 0.7702
Rougel: 6.3922
Rougelsum: 6.3308
Gen Len: 17.5465

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:

learning_rate: 2e-05
train_batch_size: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.0273	1.0	1473	2.1479	5.9189	0.5705	5.87	5.87	16.6932
2.6605	2.0	2946	2.0578	6.6512	0.7539	6.6757	6.6754	17.5501
2.5505	3.0	4419	2.0374	6.357	0.7702	6.3922	6.3308	17.5465

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Feb 27, 2024
Updated: Feb 27, 2024