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opus-mt-en-de-finetuned-de-to-en – AI Model by PontifexMaximus | AlphaNeural AI

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

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text2text-generation

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

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the wmt14 dataset.

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: 0.2
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

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1