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Qwen2.5-VL-3B-Instruct_lora_r2r – AI Model by Lelouchrx | AlphaNeural AI
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Qwen2.5-VL-3B-Instruct_lora_r2r
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-VL-3B-Instruct
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Qwen2.5-VL-3B-Instruct_lora_r2r
This model is a LoRA adapter fine-tuned on
Qwen/Qwen2.5-VL-3B-Instruct
using the R2R VLN 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: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 256
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 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
