article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm

bthomas/article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm

article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm is a machine learning model from bthomas. 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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

111

Public

Repo size

4.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin557 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: mbart
Access: Public
Created: Aug 24, 2022
Updated: Aug 25, 2022
SHA: 918125ec

Model card

From the Hugging Face model README

article2KW_test2.0_barthez-orangesum-title_finetuned_for_mlm

This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0681

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3352	1.0	1205	0.0775
0.0803	2.0	2410	0.0705
0.0719	3.0	3615	0.0681

Framework versions

Transformers 4.21.1
Pytorch 1.11.0
Datasets 2.3.2
Tokenizers 0.11.0

Library: transformers
Type: mbart
License: apache-2.0
Created: Aug 24, 2022
Updated: Aug 25, 2022