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kyoto_marian – AI Model by Hoax0930 | AlphaNeural AI
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kyoto_marian
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transformers
pytorch
tensorboard
marian
text2text-generation
translation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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kyoto_marian
This model is a fine-tuned version of
Helsinki-NLP/opus-tatoeba-en-ja
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1941
Bleu: 13.4500
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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1