barthez-orange-ft

amasi/barthez-orange-ft

barthez-orange-ft is a machine learning model from amasi. 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: mbart
Access: Public
Created: May 28, 2024
Updated: May 28, 2024
SHA: 0142dfdc

Base models

moussaKam/barthez-orangesum-abstract

Model card

From the Hugging Face model README

barthez-orange-ft

This model is a fine-tuned version of moussaKam/barthez-orangesum-abstract on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1689
Rouge1: 0.6719
Rouge2: 0.6536
Rougel: 0.6719
Rougelsum: 0.6722
Gen Len: 20.0

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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	31	4.6662	0.6719	0.6535	0.6718	0.6721	20.0
No log	1.99	62	0.6939	0.6718	0.6535	0.6718	0.6721	20.0
No log	2.99	93	0.2939	0.6718	0.6535	0.6718	0.6721	20.0
No log	3.98	124	0.2089	0.6719	0.6535	0.6718	0.6721	20.0
No log	4.98	155	0.1880	0.6719	0.6535	0.6718	0.6721	20.0
No log	5.98	186	0.1795	0.6719	0.6535	0.6718	0.6721	20.0
No log	6.97	217	0.1752	0.6719	0.6535	0.6718	0.6721	20.0
No log	8.0	249	0.1732	0.6719	0.6535	0.6718	0.6721	20.0
No log	9.0	280	0.1716	0.6719	0.6536	0.6719	0.6722	20.0
No log	9.99	311	0.1707	0.6719	0.6536	0.6719	0.6722	20.0
No log	10.99	342	0.1704	0.6719	0.6536	0.6719	0.6722	20.0
No log	11.98	373	0.1696	0.6719	0.6536	0.6719	0.6722	20.0
No log	12.98	404	0.1698	0.6719	0.6536	0.6719	0.6722	20.0
No log	13.98	435	0.1695	0.6719	0.6536	0.6719	0.6722	20.0
No log	14.97	466	0.1693	0.6719	0.6536	0.6719	0.6722	20.0
No log	16.0	498	0.1691	0.6719	0.6536	0.6719	0.6722	20.0
0.9743	17.0	529	0.1691	0.6719	0.6536	0.6719	0.6722	20.0
0.9743	17.99	560	0.1690	0.6719	0.6536	0.6719	0.6722	20.0
0.9743	18.99	591	0.1689	0.6719	0.6536	0.6719	0.6722	20.0
0.9743	19.92	620	0.1689	0.6719	0.6536	0.6719	0.6722	20.0

Framework versions

Transformers 4.31.0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.13.3

Library: transformers
Type: mbart
License: apache-2.0
Created: May 28, 2024
Updated: May 28, 2024