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VieT5-o2p-200-50-50 – AI Model by ngwgsang | AlphaNeural AI
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VieT5-o2p-200-50-50
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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VieT5-o2p-200.0-50.0-50.0
This model is a fine-tuned version of
on an unknown 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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 1024
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
lr_scheduler_warmup_steps: 100
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.4
Pytorch 2.8.0.dev20250612+cu128
Datasets 3.6.0
Tokenizers 0.21.1
