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opus-mt-en-zh-finetuned-en-to-zh – AI Model by shiqing | AlphaNeural AI
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shiqing
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opus-mt-en-zh-finetuned-en-to-zh
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transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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opus-mt-en-zh-finetuned-en-to-zh
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-zh
on the None 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: 2e-05
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
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
10
4.0166
1.3628
416.6867
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cpu
Datasets 1.14.0
Tokenizers 0.10.3
