opus-mt-en-de-finetuned-en-to-de_old

hypercalm/opus-mt-en-de-finetuned-en-to-de_old

opus-mt-en-de-finetuned-en-to-de_old is a machine learning model from hypercalm. 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 cc-by-4.0.

probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: cc-by-4.0
Model type: marian
Access: Public
Created: Apr 4, 2023
Updated: Apr 5, 2023
SHA: 17fad956

Model card

From the Hugging Face model README

hypercalm/opus-mt-en-de-finetuned-en-to-de

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

Train Loss: 1.9623
Validation Loss: 1.3569
Train Bleu: 25.6463
Train Gen Len: 30.1503
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
1.9623	1.3569	25.6463	30.1503	0

Framework versions

Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: marian
License: cc-by-4.0
Created: Apr 4, 2023
Updated: Apr 5, 2023