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QKVQA-LoRA-DMix-4E-NV – AI Model by apeironous | AlphaNeural AI
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QKVQA-LoRA-DMix-4E-NV
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-VL-3B-Instruct
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QKVQA-LoRA-DMix-4E-NV
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-3B-Instruct
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: 2e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 36
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 20
num_epochs: 4
Training results
Framework versions
PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
