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vi-t5-base-finetune-rewriter – AI Model by thangvip | AlphaNeural AI
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thangvip
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vi-t5-base-finetune-rewriter
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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vi-t5-base-finetune-rewriter
This model is a fine-tuned version of
VietAI/vit5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8354
Bleu: 38.2750
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
