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qwen25vl-3b-edit-detection-20260325050137 – AI Model by vanloc1808 | AlphaNeural AI
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vanloc1808
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qwen25vl-3b-edit-detection-20260325050137
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-VL-3B-Instruct
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qwen25vl-3b-edit-detection-20260325050137
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-3B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.4547
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: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 2
total_train_batch_size: 96
total_eval_batch_size: 48
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: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
4.3958
2.3933
500
4.4547
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.10.0+cu128
Tokenizers 0.22.2
