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vit5-large-finetune-visp-paraphrase-lora – AI Model by nguyen10001 | AlphaNeural AI
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vit5-large-finetune-visp-paraphrase-lora
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peft
tensorboard
safetensors
generated_from_trainer
VietAI/vit5-large
adapter
mit
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vit5-large-finetune-visp-paraphrase-lora
This model is a fine-tuned version of
VietAI/vit5-large
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.49.0
Pytorch 2.4.1+cu118
Datasets 4.1.1
Tokenizers 0.21.0
