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Qwen2-VL-2B-Instruct-geomverse-lora – AI Model by Srisurya-teja | AlphaNeural AI
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Srisurya-teja
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Qwen2-VL-2B-Instruct-geomverse-lora
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peft
safetensors
adapter
lora
sft
transformers
trl
unsloth
text-generation
conversational
unsloth/Qwen2-VL-2B-Instruct
adapter
apache-2.0
us
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Qwen2-VL-2B-Instruct-geomverse-lora
This model is a fine-tuned version of
unsloth/qwen2-vl-2b-instruct-bnb-4bit
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: 0.0002
train_batch_size: 2
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 30
num_epochs: 3
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
