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

adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro

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

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: May 15, 2022
Updated: May 17, 2022
SHA: 312a3969

Model card

From the Hugging Face model README

adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro

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

Train Loss: 0.6202
Validation Loss: 1.2497
Train Bleu: 25.1980
Train Gen Len: 42.5208
Epoch: 0

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Bleu	Train Gen Len	Epoch
0.6202	1.2497	25.1980	42.5208	0

Framework versions

Transformers 4.19.2
TensorFlow 2.8.0
Datasets 2.2.1
Tokenizers 0.12.1

Library: transformers
Type: marian
License: apache-2.0
Created: May 15, 2022
Updated: May 17, 2022