opus-mt-en-ro-finetuned-en-to-ro

RedPandaAINLP/opus-mt-en-ro-finetuned-en-to-ro

opus-mt-en-ro-finetuned-en-to-ro is a machine learning model from RedPandaAINLP. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

366

Public

Repo size

898 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin299 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Jul 31, 2022
Updated: Aug 1, 2022
SHA: 7d98a840

Datasets

wmt16

Model card

From the Hugging Face model README

opus-mt-en-ro-finetuned-en-to-ro

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the wmt16 dataset. It achieves the following results on the evaluation set:

Loss: 1.2886
Bleu: 28.1505
Gen Len: 34.1036

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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.7437	1.0	38145	1.2886	28.1505	34.1036

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Library: transformers
Type: marian
License: apache-2.0
Created: Jul 31, 2022
Updated: Aug 1, 2022