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llamamodeltest02 – AI Model by zjrwtxtechstudio | AlphaNeural AI
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llamamodeltest02
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen3-4B
adapter
other
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Model card
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train_2025-05-18-16-33-56
This model is a fine-tuned version of
Qwen/Qwen3-4B
on the alpaca_zh_demo 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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 16
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: 3.0
Training results
Framework versions
PEFT 0.15.1
Transformers 4.51.3
Pytorch 2.1.0+cu118
Datasets 3.2.0
Tokenizers 0.21.1
