opus-mt-en-sw-finetuned-en-to-sw

Zumaridi/opus-mt-en-sw-finetuned-en-to-sw

opus-mt-en-sw-finetuned-en-to-sw is a machine learning model from Zumaridi. 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: Jun 9, 2023
Updated: Jun 9, 2023
SHA: b3d278d9

Model card

From the Hugging Face model README

opus-mt-en-sw-finetuned-en-to-sw

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-sw on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6973
Bleu: 58.329
Gen Len: 17.8688

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	113	0.8883	48.4933	20.2061
No log	2.0	226	0.7719	57.3125	18.0965
No log	3.0	339	0.7126	58.3384	17.8894
No log	4.0	452	0.6973	58.329	17.8688

Framework versions

Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: marian
License: apache-2.0
Created: Jun 9, 2023
Updated: Jun 9, 2023