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opus-mt-zh-en-finetuned-cs-instruction – AI Model by yl31 | AlphaNeural AI
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opus-mt-zh-en-finetuned-cs-instruction
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-zh-en
finetune
cc-by-4.0
endpoints_compatible
us
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opus-mt-zh-en-finetuned-cs-instruction
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-zh-en
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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
