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test-translation-ja2en – AI Model by Suechun | AlphaNeural AI

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Suechun/
test-translation-ja2en

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text2text-generation

generated_from_trainer

endpoints_compatible

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test-translation-ja2en

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

Loss: 2.0557
Bleu: 18.4999

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: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.3.2
Tokenizers 0.13.3