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qwen3-vl-4b-lora-verienv-som – AI Model by hyungjoochae | AlphaNeural AI
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qwen3-vl-4b-lora-verienv-som
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
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Qwen/Qwen3-VL-4B-Instruct
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verienv_som_turn_sft
This model is a fine-tuned version of
Qwen/Qwen3-VL-4B-Instruct
on the verienv_vlm_som_turns 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 32
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: 0.1
num_epochs: 3.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu129
Datasets 4.0.0
Tokenizers 0.22.2
