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sft_llava_lora – AI Model by scoopnisker | AlphaNeural AI
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sft_llava_lora
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peft
safetensors
adapter
lora
transformers
text-generation
llava-hf/llava-1.5-7b-hf
llama2
us
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sft_llava_lora
This model is a fine-tuned version of
llava-hf/llava-1.5-7b-hf
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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.9.1
Datasets 4.5.0
Tokenizers 0.22.2
