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llava_siglip_llama3_8b_finetune_universal_llama_20k_8192 – AI Model by andrew-together | AlphaNeural AI
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llava
generated_from_trainer
TIGER-Lab/Mantis-8B-siglip-llama3-pretraind
finetune
llama3
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llava_siglip_llama3_8b_finetune_universal_llama_20k_8192
This model is a fine-tuned version of
TIGER-Lab/Mantis-8B-siglip-llama3-pretraind
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1
