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llama-7b-llava-1_5-pretrained-projector – AI Model by openaccess-ai-collective | AlphaNeural AI
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llama-7b-llava-1_5-pretrained-projector
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transformers
llava
text-generation
generated_from_trainer
NousResearch/Llama-2-7b-hf
finetune
autotrain_compatible
endpoints_compatible
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This model is a pretrained version of the llava multimodal projector for
NousResearch/Llama-2-7b-hf
on the liuhaotian/LLaVA-Pretrain 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: 0.002
train_batch_size: 64
eval_batch_size: 64
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 1
Training results
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1