mBart50_large_torch

guoguangjie/mBart50_large_torch

mBart50_large_torch is a machine learning model from guoguangjie. 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 mit.

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

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At a glance

Library: transformers
License: mit
Model type: mbart
Access: Public
Created: May 19, 2023
Updated: May 19, 2023
SHA: 98bc9864

Model card

From the Hugging Face model README

mBart50_large_torch

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.1233
Rouge1: 0.257
Rouge2: 0.0718
Rougel: 0.187
Rougelsum: 0.1861
Gen Len: 88.5902

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	140	2.6612	0.0155	0.0045	0.0135	0.0133	183.7541
No log	2.0	280	2.6487	0.1889	0.0497	0.1514	0.1503	88.9508
No log	3.0	420	2.8296	0.2366	0.0693	0.1772	0.1767	84.7705
1.789	4.0	560	3.1233	0.257	0.0718	0.187	0.1861	88.5902

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: mbart
License: mit
Created: May 19, 2023
Updated: May 19, 2023