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vit5-vietnamese-text-summarization – AI Model by trong269 | AlphaNeural AI
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vit5-vietnamese-text-summarization
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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vit5-vietnamese-text-summarization
This model is a fine-tuned version of
VietAI/vit5-base
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2793
eval_runtime: 464.3255
eval_samples_per_second: 32.118
eval_steps_per_second: 8.031
epoch: 13.0
step: 16148
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
gradient_accumulation_steps: 12
total_train_batch_size: 48
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_ratio: 0.01
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
