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qwen2.5-vl-7b-scienceqa-llm-projector-vision-lora – AI Model by pltops | AlphaNeural AI
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qwen2.5-vl-7b-scienceqa-llm-projector-vision-lora
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-VL-7B-Instruct
apache-2.0
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qwen2.5-vl-7b-scienceqa-llm-projector-vision-lora
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the scienceqa 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: 0.0002
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: 0.03
num_epochs: 1.0
Training results
Framework versions
PEFT 0.17.1
Transformers 4.52.0
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.21.4
