mt-no-sv-finetuned

oskarandrsson/mt-no-sv-finetuned

mt-no-sv-finetuned is a machine learning model from oskarandrsson. 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: marian
Access: Public
Created: Nov 18, 2022
Updated: Nov 18, 2022
SHA: 142f1d2b

Model card

From the Hugging Face model README

mt-no-sv-finetuned

This model is a fine-tuned version of Helsinki-NLP/opus-mt-no-sv on the None dataset. It achieves the following results on the Tatoeba.Nor.Swe evaluation set:

Loss: 0.5130
Bleu: 66.4015

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: 5e-06
train_batch_size: 24
eval_batch_size: 4
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	Bleu
1.085	1.0	10268	0.5365	65.9489
1.0258	2.0	20536	0.5221	66.0704
0.9783	3.0	30804	0.5147	66.4690
0.9578	4.0	41072	0.5130	66.4015

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1

Library: transformers
Type: marian
License: apache-2.0
Languages: sv, no
Created: Nov 18, 2022
Updated: Nov 18, 2022