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myLora2 – AI Model by haitao9866 | AlphaNeural AI
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myLora2
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-3B-Instruct
adapter
other
us
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Model card
Files and Versions
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train_2025-03-12-14-48-46
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the control_instruction_2025 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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 5.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
