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IAD-X1-SFT-answer-first – AI Model by minsu0567 | AlphaNeural AI
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minsu0567
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IAD-X1-SFT-answer-first
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transformers
safetensors
qwen3_5
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3.5-4B
finetune
other
endpoints_compatible
us
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Qwen3_5_4B
This model is a fine-tuned version of
Qwen/Qwen3.5-4B
on the PA_SFT_2_reordered 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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_BNB 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: 100.0
num_epochs: 1.0
Training results
Framework versions
Transformers 5.9.0
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
