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vinallama-2.7B-sft-mat-lora – AI Model by Luongdzung | AlphaNeural AI
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Luongdzung
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vinallama-2.7B-sft-mat-lora
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peft
tensorboard
safetensors
generated_from_trainer
vilm/vinallama-2.7b
adapter
llama2
us
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vinallama-2.7B-sft-mat-lora
This model is a fine-tuned version of
vilm/vinallama-2.7b
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 4
Training results
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
