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zh_CN-za_CN-switchout – AI Model by FiveC | AlphaNeural AI
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zh_CN-za_CN-switchout
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50-many-to-many-mmt
finetune
endpoints_compatible
us
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zh_CN-za_CN-switchout
This model is a fine-tuned version of
facebook/mbart-large-50-many-to-many-mmt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5937
Sacrebleu: 3.6739
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: 32
eval_batch_size: 32
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
2.6826
1.0
674
2.5937
3.6739
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
