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qwen-finetune – AI Model by Wenzhe | AlphaNeural AI
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qwen-finetune
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peft
safetensors
qwen
llama-factory
lora
generated_from_trainer
custom_code
hfl/chinese-alpaca-2-1.3b
adapter
other
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Model card
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train_2024-03-14-05-56-29
This model is a fine-tuned version of
hfl/chinese-alpaca-2-1.3b
on the alpaca_zh 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
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
