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qwen3-vl-8b-xray-lora – AI Model by kgmyh | AlphaNeural AI
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kgmyh
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qwen3-vl-8b-xray-lora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-VL-8B-Instruct
apache-2.0
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qwen3-vl-8b-xray-lora
This model is a fine-tuned version of
Qwen/Qwen3-VL-8B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5084
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_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_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.558
1.0
291
0.6150
0.5248
2.0
582
0.5265
0.3768
3.0
873
0.5084
Framework versions
PEFT 0.18.1
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
