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mc-tagger-qwen2_5_vl_3b-lora – AI Model by zhoudoe23 | AlphaNeural AI
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mc-tagger-qwen2_5_vl_3b-lora
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peft
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lora
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qwen2_5_vl_3b_minecraft_lora
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-3B-Instruct
on the minecraft_skins 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: 0.00015
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
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
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
