mt5-base-finetuned-arfa

eslamxm/mt5-base-finetuned-arfa

mt5-base-finetuned-arfa is a summarization model from eslamxm. 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: May 22, 2022
Updated: May 23, 2022
SHA: d4c453a9

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Model card

From the Hugging Face model README

mt5-base-finetuned-arfa

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1784
Rouge-1: 25.68
Rouge-2: 11.8
Rouge-l: 22.99
Gen Len: 18.99
Bertscore: 71.78

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-l	Gen Len	Bertscore
3.9866	1.0	2649	3.3635	21.94	8.59	19.5	18.99	70.6
3.5637	2.0	5298	3.2557	24.01	10.0	21.26	18.99	71.22
3.4016	3.0	7947	3.2005	24.4	10.43	21.72	18.98	71.36
3.2985	4.0	10596	3.1784	24.68	10.73	22.01	18.98	71.51

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Summarization
Library: transformers
Type: mt5
License: apache-2.0
Created: May 22, 2022
Updated: May 23, 2022