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envit5-translation-finetuned-en-to-vi – AI Model by ducmai-4203 | AlphaNeural AI
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envit5-translation-finetuned-en-to-vi
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/envit5-translation
finetune
openrail
text-generation-inference
endpoints_compatible
us
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envit5-translation-finetuned-en-to-vi
This model is a fine-tuned version of
VietAI/envit5-translation
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6828
Bleu: 18.5674
Gen Len: 19.1886
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 1
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.7
1.0000
21306
1.6828
18.5674
19.1886
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
