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paia-lane-vl-adapter-place-approach – AI Model by mkim0818 | AlphaNeural AI
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paia-lane-vl-adapter-place-approach
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peft
tensorboard
safetensors
llama-factory
lora
generated_from_trainer
openbmb/MiniCPM-V-4_5
adapter
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This model is a fine-tuned version of
openbmb/MiniCPM-V-4_5
on the paia_place 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: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
Training results
Framework versions
PEFT 0.14.0
Transformers 4.52.4
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
