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Qwen3-VL-4B_lora_vln_r2r_global – AI Model by Lelouchrx | AlphaNeural AI
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Qwen3-VL-4B_lora_vln_r2r_global
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peft
safetensors
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llama-factory
lora
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Qwen3-VL-4B-Instruct_lora_vln_dynamic
This model is a fine-tuned version of
/HOME/hlkj_jfy/hlkj_jfy_4/HDD_POOL/MODELS/Qwen3-VL-4B-Instruct
on the r2r_vln_dynamic 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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.03
num_epochs: 3.0
Training results
Framework versions
PEFT 0.19.1
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
