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Uni-IAD-R2-4 – AI Model by minsu0567 | AlphaNeural AI
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Uni-IAD-R2-4
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transformers
tensorboard
safetensors
llava_onevision
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
llava-hf/llava-onevision-qwen2-7b-ov-hf
finetune
other
endpoints_compatible
us
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LLaVA_OneVision_7B
This model is a fine-tuned version of
llava-hf/llava-onevision-qwen2-7b-ov-hf
on the PA_SFT_merged_2 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: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_BNB 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: 2.0
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.11.0+cu128
Datasets 3.1.0
Tokenizers 0.20.3
