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Qwen3-VL-2B_lora_r2rrxrqa – AI Model by Lelouchrx | AlphaNeural AI
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Qwen3-VL-2B_lora_r2rrxrqa
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Qwen/Qwen3-VL-2B-Instruct
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Qwen3-VL-2B_lora_r2r_random_3k
This model is a fine-tuned version of
/home/cs22-hongly/VLN/checkpoints/Qwen3-VL-2B-Instruct
on the llava_video_178k, the scannet, the rxr and the r2r datasets.
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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 32
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.22.2