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opus_zh_en_finetuned – AI Model by RinKana | AlphaNeural AI
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opus_zh_en_finetuned
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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_zh_en_finetuned
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-zh-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2696
Bleu: 54.7403
Chrf: 59.4450
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Chrf
2.2207
1.0
22
1.3842
45.7321
55.5944
1.4839
2.0
44
1.3005
48.2970
57.3784
1.2985
3.0
66
1.2696
54.7403
59.4450
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cpu
Datasets 5.0.0
Tokenizers 0.22.2
