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refusal-sft – AI Model by aylinakkus | AlphaNeural AI
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refusal-sft
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transformers
safetensors
qwen2_5_vl
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-VL-7B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
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Model card
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qwen2_5vl_7b_63k_nores_jedi_5k_refusal_train_lr_1_0e-06_bs16_4nodes_z3_1epoch
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the 63k-nores-jedi-5k-refusal-train 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: 1e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
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_ratio: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1
