mBART_slang_to_standard_augmented

eunyounglee/mBART_slang_to_standard_augmented

mBART_slang_to_standard_augmented is a machine learning model from eunyounglee. 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. --

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Repo size

7.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin2.4 GB · 100%

At a glance

Library: transformers
License: mit
Model type: mbart
Access: Public
Created: Oct 6, 2022
Updated: Oct 6, 2022
SHA: 2867ec5e

Model card

From the Hugging Face model README

mBART_slang_to_standard_augmented

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: 0.0284
Bleu: 96.9375
Gen Len: 41.456

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.8419	1.0	3366	0.2810	76.5247	47.684
1.0628	2.0	6732	0.0525	93.5929	44.108
0.7883	3.0	10098	0.0284	96.9375	41.456

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1

Library: transformers
Type: mbart
License: mit
Created: Oct 6, 2022
Updated: Oct 6, 2022